Decision analysis and methods
Mehdi Soltanifar
Abstract
In this paper, a hybrid method based on a linear programming model for solving Multi-Attribute Decision-Making (MADM) problems by combining two new methods, the COmplex PRoportional Assessment (COPRAS) and the Multi-objective Optimization Ratio Analysis (MOORA) and also using the concept of discrimination ...
Read More
In this paper, a hybrid method based on a linear programming model for solving Multi-Attribute Decision-Making (MADM) problems by combining two new methods, the COmplex PRoportional Assessment (COPRAS) and the Multi-objective Optimization Ratio Analysis (MOORA) and also using the concept of discrimination intensity functions are presented. Further interaction with the Decision Maker (DM) to determine the weights of the attributes and calculate the weights by solving a linear programming problem without determining the predetermined weight are two of the advantages of the new method. In the proposed method, for each alternative, attributes are weighted with optimism for that alternative, and then alternatives are ranked through efficiency intervals. The proposed method is implemented on a real-world problem derived from the subject literature and compared with other MADM methods. The difference in the final results is evident due to the consideration of more details in determining the rankings.
Decision analysis and methods
Elham Ebrahimi; Mohammad Reza Fathi; Seyed Mohammad Sobhani
Abstract
Multiple criteria decision-making (MCDM) is well known nowadays as a methodology in which a set of techniques are integrated to evaluate a set of alternatives with specified criteria for the purpose of selecting or ranking. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is ...
Read More
Multiple criteria decision-making (MCDM) is well known nowadays as a methodology in which a set of techniques are integrated to evaluate a set of alternatives with specified criteria for the purpose of selecting or ranking. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is well-established methodology frequently considered in MCDM analyses. TOPSIS has a sound logic that represents the rationale of human choice and is a scalar value simultaneously taking into account both the best and worst alternatives. Moreover, it has a simple computation process that could be easily programmed and finally it has the ability to rank alternatives on attributes to be visualized on a polyhedron, in at least two dimensions. Despite the advantages of this method, the process of ranking alternative according to related criteria may need more consideration. Typically, there are contributions in this article. First, a new similarity measure has been introduced followed by a modification applied to TOPSIS analyses. Second, the modified similarity technique was subsequently extended in the fuzzy context to cope with the uncertainty inherently existing in human judgments. A numerical example of the personnel selection was presented to demonstrate the possible application of the proposed method in human resource management. The outcome of applying fuzzy similarity method showed a significant distinction in ranking alternatives compered to TOPSIS method. Therefore, the modification is sound to be a proper solution.
Decision analysis and methods
Effat Jalaeian Zaferani; Mohammad Teshnehlab; Mansour Vali
Abstract
The personality in the present world plays a critical role in social interactions, the use of modern technologies, and individuals' success. Therefore, in the last two decades, the study of Automatic Personality Perception (APP) and Automatic Personality Recognition (APR) has become more prevalent than ...
Read More
The personality in the present world plays a critical role in social interactions, the use of modern technologies, and individuals' success. Therefore, in the last two decades, the study of Automatic Personality Perception (APP) and Automatic Personality Recognition (APR) has become more prevalent than speech processing. These studies have shown that personality traits affect acoustic features. However, the intrinsic imbalanced distribution of personality classes across the dataset is an issue mentioned in most previous studies and the classification results suffer from it. In this paper, an innovative supervised k-fold Cross-Validation (CV) method was proposed to cope with the problem of affecting the imbalanced distribution of data across different classes. The classification outcomes showed better performance in comparison with three traditional data balancing methods. Moreover, the obtained results of the proposed evaluation method indicated that the proposed method acts as a k-fold CV method if the data distribution is balanced; otherwise, it will improve the classification results.
Decision analysis and methods
Shahla Jahangiri; Milad Abolghasemian; Adel Pourghader Chobar; Ahmadreza Nadaffard; Vahid Mottaghi
Abstract
China introduces a new strain of coronavirus as a causative of a new respiratory disease after several people contracted an unusual pneumonia in December 2019. The World Health Organization stated that the outbreak of the virus resulted in public health emergencies around the world. Humanitarian supply ...
Read More
China introduces a new strain of coronavirus as a causative of a new respiratory disease after several people contracted an unusual pneumonia in December 2019. The World Health Organization stated that the outbreak of the virus resulted in public health emergencies around the world. Humanitarian supply chain management is concerned with managing the efficient flow of aid materials, information and services and aim to reduce the impact of disaster on human lives. In this paper, provides a ranking for key resources in the humanitarian supply chain in the emergency department of Iranian hospital using hybrid decision-making method under COVID-19 conditions. According to the obtain results, nurses in RK 1, receptionists RK 2, general surgeon RK 3, heart residents RK 4 and pulmonologist RK 5. Hybrid decision-making method in this paper is an invaluable contribution to the emergency department and medical managers for evaluates of current situation Emergency Department when crisis occur.
Decision analysis and methods
Nima Hamta; Mohammad Ehsanifar; Arezoo Babai; Abbas Biglar
Abstract
The purpose of this paper is to develop a new Failure Mode and Effect Analysis (FMEA) framework for identification, prioritization and improvement of failure modes. A hybrid multiple criteria decision-making (MCDM) method combining Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska ...
Read More
The purpose of this paper is to develop a new Failure Mode and Effect Analysis (FMEA) framework for identification, prioritization and improvement of failure modes. A hybrid multiple criteria decision-making (MCDM) method combining Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska optimizacija I KOm-promisno Resenje (VIKOR) is used to rank the risk of failure modes identified in FMEA. For this purpose, the SWARA method is utilized to obtain the influential weights and then VIKOR technique is employed to give the prioritization levels for the failure modes in safety equipment. A case study of a gas company in Lorestan Province (Iran) is provided to illustrate the potential application and benefits of the proposed FMEA approach. The obtained results show that the new risk priority model can be effective to find high risk failure modes and create suitable maintenance strategies. The proposed FMEA also can overcome the shortcomings, improve the effectiveness of the traditional FMEA and provide useful information to help in managing risks of safety equipment.
Decision analysis and methods
Parviz Banafshi; Soleyman Iranzadeh; Houshang Taghizadeh
Abstract
The business process turbulence and the increasing competition among business firms have made the environment around organizations much different than before. Knowing the future business paths and moving in their direction in a way that benefits the organization indicates the necessity of marketing research ...
Read More
The business process turbulence and the increasing competition among business firms have made the environment around organizations much different than before. Knowing the future business paths and moving in their direction in a way that benefits the organization indicates the necessity of marketing research and concepts such as market-centric. This study aims to evaluate the impact of market-centric on organizational performance by emphasizing the mediating role of organizational innovation in the value chain and provide a model for it. This research is a descriptive-survey study. Confirmatory Factor Analysis (CFA) technique has been used to evaluate the significance of regression weight (factor loading) of different constructs of the questionnaire in predicting the relevant items. LISREL statistical analysis software has been used to test the research hypotheses and analysis of structural equations. The statistical population of the study is all managers and employees working in the value chain of poultry industry in Kurdistan province, which 205 samples have been selected based on Cochran's formula. The results of data analysis indicate that the relationship between customer-centric and inter-task coordination with organizational innovation as well as the relationship between pivotal competition and organizational innovation with the financial performance of the organization was confirmed. There is no significant relationship between pivotal competition and organizational innovation, as well as between customer-centric and inter-task coordination with financial performance of the organization. Finally, some suggestions have been made to improve the performance of the poultry industry.
Decision analysis and methods
Adel Azami; Hanif Kazerooni; Hossein Mohammadkhani Ghiasvand
Abstract
The production and service functions in the innovation system emphasize producing new products. As any innovation system’s final output must ultimately produce new products and deliver new services, the considered function is essential in the innovation system. This study seeks to extract the challenges ...
Read More
The production and service functions in the innovation system emphasize producing new products. As any innovation system’s final output must ultimately produce new products and deliver new services, the considered function is essential in the innovation system. This study seeks to extract the challenges and give solutions to improve the production and deliver services in the innovation system. Producing and delivering services does not occur in a vacuum and should occur in a context called the Supply Chain (SC). In this paper, qualified experts were interviewed to discover the challenges and solutions to improve production. Fifteen elite researchers in the innovation field then discussed the results in focus sessions and refined practical solutions after an in-depth review of the extracted information. The role of responsible institutions was determined, and the necessary indicators were extracted to evaluate the factors of innovative production after providing the required infrastructure to achieve production promotion. One of the Fuzzy Multi-Attribute Decision Making (FMADM) techniques is also used to prioritize the discovered solutions based on the importance of influencing the producing promotion. Finally, a model is presented for improving the production and service functions in the innovation system. The results showed the main solution is to collaborate and create efficient integration at different SC levels.
Decision analysis and methods
Davood Yaghoobi; Seyed Mahmoud Hashemi; Abdollah Naami
Abstract
This research is conducted with the aim of providing an effective advertising pattern based on social networks in educational businesses industry. This research is applied in terms of objective and survey-exploratory in terms of approach. The statistical population of this study was a group of experts ...
Read More
This research is conducted with the aim of providing an effective advertising pattern based on social networks in educational businesses industry. This research is applied in terms of objective and survey-exploratory in terms of approach. The statistical population of this study was a group of experts including senior managers of private sector educational institutions, university professors and marketing consultants familiar with the private educational services industry that in-depth interviews were conducted with them. The selection of experts and doing interview with them continued until the theoretical saturation was reached and then stopped. Snowball sampling method was used in this research and this process continued until reaching the theoretical saturation. 9 interviews were conducted in total. Due to using the data foundation theory in this research, the main data collection tool was unstructured in-depth interviews with experts. Finally, after three open, axial and selective kinds of coding, the conceptual model of the research was designed based on a paradigm model. Also, in this study, using AHP decision method, research variables were prioritized according to experts.
Decision analysis and methods
Vahid Mottaghi; Mahdi Esmaeili; Ghasem Ali Bazaee; Mohammadali Afshar Kazemi
Abstract
With the increase of news on social networks, a way to identify fake news has become an essential matter. Classification is a fundamental task in natural language processing (NLP). Convolutional neural network (CNN), as a popular deep learning model, has shown remarkable success in the task of fake news ...
Read More
With the increase of news on social networks, a way to identify fake news has become an essential matter. Classification is a fundamental task in natural language processing (NLP). Convolutional neural network (CNN), as a popular deep learning model, has shown remarkable success in the task of fake news classification. In this paper, new baseline models were studied for fake news classification using CNN. In these models, documents are fed to the network as a 3-dimensional tensor representation to provide sentence-level analysis. Applying such a method enables the models to take advantage of the positional information of the sentences in the texts. Besides, analyzing adjacent sentences allows extracting additional features. The proposed models were compared with the state-of-the-art models using a collection of real and fake news extracted from Twitter about covid-19, and the fusion layer was used as the decision layer in selecting the best feature. The results showed that the proposed models had better performance, particularly in these documents, and the results were obtained with 97.33% accuracy for classification on Covid-19 after reviewing the evaluation criteria of the proposed decision system model.
Decision analysis and methods
Rasoul Jamshidi; Mohammad Ebrahim Sadeghi
Abstract
Nowadays, many accidents, malfunctions, and quality defects are happening in production systems due to Human Errors Probability (HEP). Human Reliability Analysis (HRA) methods have been proposed to measure the HEP based on Performance Shaping Factors (PSFs), but these methods do not have a procedure ...
Read More
Nowadays, many accidents, malfunctions, and quality defects are happening in production systems due to Human Errors Probability (HEP). Human Reliability Analysis (HRA) methods have been proposed to measure the HEP based on Performance Shaping Factors (PSFs), but these methods do not have a procedure to select the effective PSFs and consider the PSFs dependency. In this paper, we propose an Artificial Neural Network based Human Reliability Analysis (ANNHRA) in cooperation with Response Surface Method (RSM). This framework uses the advantage Systematic Human Error Reduction and Prediction Approach (SHERPA) method to quantify the PSFs and the ANN and RSM to consider the PSFs dependency and select the most effective PSFs. This framework decreases the time and cost and increases the accuracy of HRA. The proposed framework has been applied to a real case and the provided results show that human reliability can be calculated more effectively using ANNHRA framework.
Decision analysis and methods
Niloofar Khalili; Parisa Shahnazari Shahrezaei; Amir Gholm Abri
Abstract
The current study, according to ergonomic factors, aims to model the nurses’ work shift scheduling problem. Considering the urgent needs of the hospitals in providing better services to patients, it seems significant to take the preferences of nurses in scheduling shifts into account. Therefore, ...
Read More
The current study, according to ergonomic factors, aims to model the nurses’ work shift scheduling problem. Considering the urgent needs of the hospitals in providing better services to patients, it seems significant to take the preferences of nurses in scheduling shifts into account. Therefore, in this paper, a multi-objective model of nurses’ scheduling with emphasis on reducing their fatigue during the career shift is presented. To evaluate the outputs of the model, two numerical instances in small and large sizes with real data of Labbafinejad Hospital were designed in 18-person and 90-person wards. To solve a small size problem, a comprehensive standard decision method is employed, the results of which showed that nurses take their most rest during the night shift and in the middle of their working hours to reduce fatigue. Furthermore, due to the NP-Hard nature of the nurses' scheduling problem, in the problem of the 90-person ward, MOPSO and NSGA II algorithms are applied based on the design of a new chromosome. Using the TOPSIS method and entropy weighting method shows that the designed NSGA II algorithm can solve the nurses’ scheduling problem of Labbafinejad Hospital faster and better.
Decision analysis and methods
Reza Hassanzadeh; Hossein Asghari
Abstract
Sales and Operations Planning (S&OP) includes up-to-date forecasts that lead to sales schedules, production schedules, inventory schedules, customer delivery plans, new product development plans, and financial plans. The purpose of this study is to identify the affecting factors of the implementation ...
Read More
Sales and Operations Planning (S&OP) includes up-to-date forecasts that lead to sales schedules, production schedules, inventory schedules, customer delivery plans, new product development plans, and financial plans. The purpose of this study is to identify the affecting factors of the implementation of the S&OP Process and determine the significance of each of them, as well as the ranking of the implementing department of this process by using the fuzzy AHP and fuzzy TOPSIS. Data collections in this research, by 10 experts of different planning and production departments of Kalleh dairy production company in 2018 have been conducted. To identify the factors, research findings and expert opinion have been used and the required data have been collected through the designed questionnaires. The validity of the questionnaire has been confirmed by the experts in this area, and its reliability has been analyzed using the incompatibility rate of the AHP method. The data analysis in this study was done using coding in Eecel software. The results show that among the S&OP executing parts, the highest impact of factors on UHT section was observed with 0.56 points and the lowest impact on the concentration with 0.37 points. The major affecting factors of sales and operations planning process implementation, relations with countries of the region and the world, customs rules (roof of the outflow of currency from the country in return for raw materials) and inflation rate and currency changes are known that the organization can be grown in order to thrive to generalize these issues.
Decision analysis and methods
Malek Hassanpour
Abstract
In 1932, the first leather manufacturing industry was established in Hamedan, Iran. The textile industry sets up in Iran about 3000 BC. Nowadays, both of aforementioned industries have appeared with a variety of technologies and facilities over the world. By current cluster study of Iranian Textile and ...
Read More
In 1932, the first leather manufacturing industry was established in Hamedan, Iran. The textile industry sets up in Iran about 3000 BC. Nowadays, both of aforementioned industries have appeared with a variety of technologies and facilities over the world. By current cluster study of Iranian Textile and Leather Industries (ITLI) the raw data have empirically come through of the decision-making techniques pertaining to main criteria and number of industries; rely on their nominal capacity. The initial resource of data used in present research gets back to the preliminary assessment of ITLI by both of Iranian industries organization and Iranian environment protection agency once before giving license to implement industries individually. SPSS and EXCEL 2013 software have used to process raw data. Using Vlse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Simple Additive Weighting (SAW) resulted in two different kinds of classification for ITLI. The findings of input materials stream exploited energy and existing facilities in ITLI are introduced to identify the materials cycles, energy demand and machines, and devices employed in the subject of industrial ecology and industry 4.0, respectively.
Decision analysis and methods
Iman Ajripour; Milad Asadpour; Leila Tabatabaie
Abstract
The organization Performance management is an important component that directly affects the total performance of the organization and the competitive environment. Hence, manager(s) performance is one of the most important functional parts of an organization. Senior manager(s) decisions are one of the ...
Read More
The organization Performance management is an important component that directly affects the total performance of the organization and the competitive environment. Hence, manager(s) performance is one of the most important functional parts of an organization. Senior manager(s) decisions are one of the most important factors affecting the organization performance management. In this paper, organization performance management is evaluated using criteria derived from Balanced Scorecard. The purpose of this paper is to prioritize alternatives related to manager(s) performance in an organization using multi-criteria decision-making, i.e. PROMETHEE, ELECTRE, and TOPSIS and provide a model for it. Mean Maximum-Minimum Square Ranks method is proposed to combining the results obtained from applying multi-criteria decision-making methods. Also, roadmaps are presented for alternatives with higher priority for the organization. The proposed model provides the possibility of solving issues related to the organizational performance by analyzing various alternatives and criteria for organization manager(s). To evaluate the efficiency of the proposed approach, the model is implemented in a petrochemical company, which its final products are used to make fibers.
Decision analysis and methods
Ali Montazeri; Javid Jouzdani
Abstract
Understanding financial literacy and knowing the financial skills that an investor can invest in Tehran Stock Exchange are very important in order to reduce investor's concerns and worries. Hence, investment companies that invest on behalf of their stockholders can reduce these concerns and worries. ...
Read More
Understanding financial literacy and knowing the financial skills that an investor can invest in Tehran Stock Exchange are very important in order to reduce investor's concerns and worries. Hence, investment companies that invest on behalf of their stockholders can reduce these concerns and worries. Therefore, the advertising activities of these companies are important in attracting investors, as well as providing company activities, etc. In this paper, the appropriate criteria and desired advertising activities that are obtained by financial literacy for investment companies, which are invested in Tehran Stock Exchange, are outlined. These advertising activities are ranked by using the step-by-step approach of analytic network process which is a multi-criteria decision-making method. According to its results, advertising activities using TV has the most weight among other advertising activities. This indicates that the use of television for advertising in company investments in Tehran Stock Exchange will be very influential. Also, social networks are ranked second, and in the end, two activities of billboards and magazines with a very small difference are placed in the fifth and sixth rankings. These two advertising activities have less effect than other ones in Tehran Stock Exchange investment companies.
Decision analysis and methods
Hamzeh Amin-Tahmasbi; Seyedeh Samaneh Shariatmadari
Abstract
The Bankruptcy of insurance companies compared to companies in other industries can have a more devastating impact on the customers of this industry and on society as a whole; because the insurance company's bankruptcy is equal to the risk of the economic presence of the insurer and third parties. Severe ...
Read More
The Bankruptcy of insurance companies compared to companies in other industries can have a more devastating impact on the customers of this industry and on society as a whole; because the insurance company's bankruptcy is equal to the risk of the economic presence of the insurer and third parties. Severe outcomes of insurance company's bankruptcy have made financial monitoring institutions to design systems for evaluation and supervision of insurance companies’ solvency in order to reduce bankruptcy risk of these companies. Inappropriate design of these systems may transmit incorrect signals to the insurance companies, lawmakers, and insurers and would have irreversible effects. Thus, the current research aims at prioritizing different solvency monitoring systems of Iran Insurance Company using Analytic Network Process (ANP). This is an applied research in terms of purpose, and it is descriptive - analytical research in terms of data collection method. The identified indexes for evaluation and monitoring the insurance companies’ solvency include the quantitative computational aspects, flexibility, and qualitative aspects. Following data collection using the network analysis software, which was used for advanced hierarchy analysis and DEMATEL, which was used for ranking qualitative, quantitative aspects, and flexibility, it is concluded that the quantitative computational index has the highest impact, and the qualitative index has the lowest impact on the solvency of Iran Insurance Company.
Decision analysis and methods
Mahmoud. A. Barghash; Lina Al-Qatawneh; Saleem Ramadan; Awwad Dababneh
Abstract
In many cases, supermarkets are founded on rental of already built property and in this case, the space is accepted as is. It is imperative in this case that the supermarket be designed to achieve multiple objectives such as ease of roaming, display area, special display areas etc. It is important for ...
Read More
In many cases, supermarkets are founded on rental of already built property and in this case, the space is accepted as is. It is imperative in this case that the supermarket be designed to achieve multiple objectives such as ease of roaming, display area, special display areas etc. It is important for any store to have a good design, because it will be reflected on the customer’s satisfaction, which in turn will increase sales and will ease customer flow. Several possible ready-made designs are available in the literature such as Grid, loop, and mixed. When implemented on the current space limitations, they can have different achievement for the objectives of the design. Analytical Hierarchy process (AHP) represents a suitable technique for comparing these designs and reaching the final layout design selection. AHP layout selection is applied to a local supermarket and different layouts were generated. The design objectives are then evaluated for each of the layouts. It was concluded initially there is variability in the objectives achieved by the different designs, and a suitable multi-objective technique is required to select the final design. AHP is used to determine which of the designs was the most suitable through multiple comparison and consistency check. The results showed that the grid design was the most suitable for the current case study.
Decision analysis and methods
Mahmoud. A. Barghash; Nabeel Al-Mandahawi; N. AbuJbara; R. Al-Abbadi; S. Hussein
Abstract
Cellular manufacturing is an important tool for manufacturing firms which leads to better productivity, focused and specialized manufacturing process. To utilize this important tool, the machines have to be grouped into cells. This work is related to using cellular manufacturing in a pharmaceutical factory ...
Read More
Cellular manufacturing is an important tool for manufacturing firms which leads to better productivity, focused and specialized manufacturing process. To utilize this important tool, the machines have to be grouped into cells. This work is related to using cellular manufacturing in a pharmaceutical factory with alternative routing. This adds more choices in the decision making process and presses for a better tool to make optimal selection. Several objectives may be considered to improve the productivity objectives such as the total number of exits and planning and scheduling robustness related objectives like bottleneck utilization and load balance between and within the alternative routes. Analytical hierarchical process (AHP) is used as a multi-objective decision making process to evaluate the best scenario amongst generated using simulation as a tool for modeling and evaluating the output for each scenario. Three customer case studies were considered with different preferences and the AHP evaluated the best scenario to fit these preferences. The best scenario can vary from one customer preferences to another but for the current system it turned out to be the same choice.
Decision analysis and methods
Seyede Narges Taati; Ayda Esmaili Dooki
Abstract
Nowadays, hospitals are considered as one of the most important service industries in which nurses play a vital role. Indeed, the patient's safety will be treated and the hospital credibility will be lost, if the hospital nurses do not carry out their tasks properly. In this paper, an integration of ...
Read More
Nowadays, hospitals are considered as one of the most important service industries in which nurses play a vital role. Indeed, the patient's safety will be treated and the hospital credibility will be lost, if the hospital nurses do not carry out their tasks properly. In this paper, an integration of Fuzzy Decision Making Trial and Evaluation (FDEMATEL), Fuzzy Hierarchy Process Analysis (FAHP), and Fuzzy VIKOR (FVIKOR) is proposed to select the best hospital nurses of a year regarding to some qualitative and quantitative criteria. Firstly, FDEMATEL method is used to identify the most important criteria of the problem and then FAHP approach is utilized to determine the weight importance of the criteria. Finally, prioritizing of the hospital nurses is done by FVIKOR method and the proposed method is implemented in a real-world case study of one of the most prominent hospitals in the north of Iran, for the first time. The results illustrate that the proposed method is very functional and effective in both selecting and ranking the hospital nurses process.
Decision analysis and methods
Ayda Esmaili Dooki; Parisa Bolhasani; Mohammad Fallah
Abstract
Nowadays selecting the best inspectors has triggered a substantially significant issue among today’s competitive environment, in particular some prominent banks. It’s because the efficient supervision of banking activities is necessary for both achieving a powerful economic environment and ...
Read More
Nowadays selecting the best inspectors has triggered a substantially significant issue among today’s competitive environment, in particular some prominent banks. It’s because the efficient supervision of banking activities is necessary for both achieving a powerful economic environment and financial stability of the country, Chief inspectors as highest position of the banks play an important role. Additionally, the bank inspectors are in charge of supervising bank activities to ensure that there is sufficient capital and reserves to deal with risks when they encounter to critical situations. On the other hand, although the banking supervision costs is really high, but the poor monitoring can bring about higher costs. So, this paper presents a hybrid method of fuzzy AHP and Fuzzy TOPSIS to select the best chief inspector of banks based on some various qualitative and quantitative criteria with different priorities. The Fuzzy AHP and TOPSIS methods are used to determine the weight importance of criteria and ranking the selected inspectors, respectively. The proposed method was applied to a real case study on one of the most prominent Banks of Iran country and the obtained results show that our proposed method is so practical to make the best decision of selecting the bank chief inspectors.
Decision analysis and methods
Abdol Hamid Safaei; Faezeh Homayounzadeh
Abstract
Due to the increased attention to training and improving the training level, its evaluation requires special procedures. In this paper, a novel approach is proposed to evaluate the performance of training courses using different evaluation and rating techniques. In order to identify the criteria affecting ...
Read More
Due to the increased attention to training and improving the training level, its evaluation requires special procedures. In this paper, a novel approach is proposed to evaluate the performance of training courses using different evaluation and rating techniques. In order to identify the criteria affecting the assessment, the Delphi hourly method is used. To determine the severity of impact and the importance of model elements, the revised method proposed by Dalalah et al was used in FDEMATEL. Using the FVIKOR technique, the in-service training courses held in Mazandaran and Golestan Regional Electricity Company were prioritized. The findings of this study indicate the high importance of universality of training materials compared to other model criteria. They also suggest that setting a short-term in-service training course yields the best training performance.
