تصمیم گیری چندشاخصه

The management and performance evaluation system as one of the management processes has a prominent role in helping to achieve the goals and missions of the organization. The purpose of this article is to present a method to evaluate the performance of the organization's task units. This approach, based on a scientific and systematic method, explicitly considers the existence of uncertainty and ambiguity in the nature of organizational activities.

In this paper, a MADM hybrid approach is used. First, the performance indicators have been determined by the literature review and consulting experts, and then the importance and weight of each of the performance indicators has been calculated using the intuitionistic Fuzzy DEMATEL and finally, the performance of organization's units has been evaluated using the ELECTRE intuitionistic Fuzzy method. In order to apply this method, the performance evaluation of the organization of industry, mining and trade of Tehran province has been done with the proposed method.

This study shows the effectiveness of the hybrid intuitionistic fuzzy DEMATEL-ELECTRE approach in performance evaluation the organizational units. This method correctly considers the uncertainty in the performance evaluation indicators by using the intuitionistic fuzzy approach and leads to a correct and reliable performance evaluation. The results showed that among performance indicators, organizational improvement and transformation, transparency and productivity improvement have the most weight and importance in performance evaluation of organizational units.

Originality/Value:

 For the first time, this research has used the hybrid intuitionistic fuzzy DEMATEL-ELECTRE approach to performance evaluation of organizational units. Using the intuitionistic fuzzy approach provides a unique perspective on uncertainty in performance evaluation and increases the reliability of performance evaluation and ranking. The application of this method in a government service organization provides a methodological tool for performance evaluation or rating of organizational units or work teams in different or similar organizations and fields.

Uncertainty is a common occurrence in real-world issues that often make decision-making difficult. Specifically, when it comes to managing a supply chain, the decision of which supplier to choose is complicated by a lack of information and knowledge, which leads to different levels of uncertainty in the attributes and alternatives, making it hard to make the right decision. In this article, a multi attribute decision-making method within a qualitative reasoning framework, where the assessment of problem attributes is carried out using different backgrounds and levels of experts' knowledge, is presented, and the score of the alternatives by evaluation a K-dimensional vector of qualitative labels is determined. To achieve it, the qualitative reasoning framework is first described, and then the proposed method in the same framework is described. The validity of the proposed method was verified by two practical examples. An example demonstrated the effectiveness of the proposed model and the results were compared with other methods. Finally, a real example was employed to select the best supplier. The conditions for the practical example are chosen in such a way, that it cannot be solved by using the previous methods. The results of this study explain the advantage of using multiscale linguistic space over other linguistic methods and also by analyzing two practical examples, the validity of the proposed method and its advantage over other methods in the qualitative reasoning space is confirmed.

Neuromarketing is an interdisciplinary and emerging field which can be used in order to relate consumer behavior to neuroscience. So, in recent decades, the importance and interest in buying sustainable products for protecting the environment has been increased. Thus, the present study was done with the aim of fuzzy analytic hierarchy process of neuromarketing evaluation criteria for sustainable products.

The research was performed with a quantitative approach and by using multiple-criteria decision analysis. For this purpose, in order to gain a deep understanding of the subject and collecting useful data, after carefully reviewing the related studies, the views of 16 experts were collected using a fuzzy hierarchical researcher-made questionnaire, which the inconsistency rate of the questionnaires confirmed reliability of them. Also, sensitivity analysis was used to ensure.

The results showed that the criteria for evaluating neuromarketing are in seven categories, which based on FAHP are: accuracy, biasness, exploration of memory and emotion, information quality, usefulness, time saving, cost, respectively. Also, the alternatives of marketing for sustainable products affected by neuromarketing in order of priority are: advertising, product design and development, branding, consumer decision, pricing and distribution. Sensitivity analysis also showed that the research findings are confirmed, but in the case of two criteria of biasness and exploration of memory and emotions, there is a possibility of displacement.

Originality/Value:

 Neuromarketing, due to the provision of high-precision and high-quality information and the reduction of bias in the analysis of results, provides the possibility of predicting consumer buying behavior and affects the marketing mix of sustainable products.

Today, the advent of blockchain technology has changed the way businesses do business, the size and scope of different organizations. One of these areas is the supply chain, which has many stakeholders, and blockchain, with its unique features, effectively responds to the various challenges in this area. Implementing this technology, like other technologies, has many challenges. Hence, these challenges must be carefully identified and analyzed to minimize their adverse impacts to use this technology effectively. In this regard, the present study aims to identify and prioritize the challenges of implementing blockchain technology in the supply chain based on the Bayesian BWM as one of the newest multiple attribute group decision-making methods.

At first, after reviewing the research literature, the challenges were identified. Then, the Bayesian BWM method determined the importance of these challenges in the case study.

The results showed that security, technical and organizational challenges are the most important challenges for the company in implementing this technology, respectively. Also, among all sub-indicators of research challenges, poor scalability, privacy/confidentiality of the information, and cyberattacks have the most importance, respectively.

This study studied the challenges of implementing blockchain technology as a new technology in supply chains using one of the newest multiple attribute group decision-making methods (Bayesian BWM). Based on the research results, practical and research suggestions were presented

The key to success in the world of auditing has been the ability to adapt auditorschr('39') knowledge to the process of changing audit approaches. This article aims to apply the combination of multi-criteria decision-making methods in risk-based auditing (RBA) in credit institutions. In terms of method, the present study is exploratory. The statistical population of the study Managers and banking and academic experts have the authority to comment on the identification, evaluation of indicators and processes affecting RBA. The key indicators of RBA were selected based on documentary and field studies and interviews with 7 managers and banking experts and were weighted by 3 managers using FUCOM method. Banking risks were ranked based on key risk indicators using the EDAS method and audit processes were processed based on the type and degree of risk and based on the opinion of 14 members of the Audit Committee, risk, compliance and anti-money laundering and Combating the Financing of Terrorism of Credit institution was screened using the fuzzy Delphi method. The results of this study show the 4 key indicators of RBA in order of importance, including; The opinion of the Chairman of the Audit Committee, the value of assets exposed to the type of risk in the reports of the independent auditor and statutory auditor for the last 5 years, the opinion of the Subcommittee on Risk Management and the value of assets exposed to the type of risk The findings also show; Major facilities and commitments, establishing a corporate governance framework, providing banking products and services, and legal partnership and investment, respectively, were selected as the most important processes for RBA. For the proposed method, an empirical example of RBA in a credit institution is given.

The oil consortium in Iran is one of the most important approaches to implementing the huge projects of the petrochemical industry. But the selection of suitable and expert partners is one of the most common bottlenecks in such cooperation networks. The purpose of this paper is to provide a practical, yet simple, solution for the decision makers to be able to choose the right candidate from the selected candidates. For this purpose, a three-stage model has been designed. In the first stage, the criteria affecting the choice of partner from the perspective of experts and reviewing the literature were first collected and weighed with the help of SWARA method. In the next stage, the ranking of partners (6 domestic and 4 foreign companies) was based on a set of decision-making methods such as COPRAS, VIKORA, SWA, TOPSIS, ARAS, MOORA, and multi-MOORA. The final stage integrated the ranking results based on the Copeland. In the end, financial capability and debt ratio and repayment potential were introduced as the most important criteria and sub-criteria. Also, partner 3 was selected as the best candidate by Copeland. Finally, in order to measure the performance of the integration of results, the Spearman correlation coefficient was used and the results of high test affinity and integration of results were obtained. Therefore, it can be said that the approach used has performed well.

Classic Linear Assignment method is a multi-criteria decision making method, which takes the weight of criteria into account, and each ranking is assigned to one, and only one alternative. In order to omit the need of calculating the weight of criteria, to use the priority of decision- making criteria,, and to be able to assign each ranking to more than one alternative, a multi- objective linear programming method is suggested in this paper in which an objective function is dened for each criterion, to optimize alternatives based on that particular criterion. The objective function of each criterion consists of the total related performance point variables in the linear assignment model so that the best alternative, which is optimum in terms of all criteria, is chosen in the end. There are as many objective functions as criteria which all contribute to a Multi- Objective Linear Programming. Then, regarding the priority of the criteria, the multi- objective linear programming model is solved using Absolute Priorities Method. In the suggested method, measuring the weight of criteria is not required; however, the degree of the importance of each criterion is taken into account. Decision- makers exert their opinion on the nal ranking by prioritizing the criteria. Constraintsposedbytheneedtoassigneachranking to only one alternative are removed in this model. Global Criterion method can be used to solve the resulting MOLP problem, too. In addition, when adding new criteria to the problem, as many new objective functions are added to, hence, there will be no need to recalculate the weight of criteria and do the calculations required in the linear assignment method. Calculating Spearman's Correlation Coecient shows that the proposed model in comparison with Classic Linear Assignment methodis more consistent with the most commonly used multi-criteria decision-making methods TOPSIS, VIKOR, and MOORA.

This paper introduces a new method for incorporating the performance of alternatives into their ultimate ranking in a linear assignment method. This method is one of multi-criteria decision-making methods, in which the weight of criteria is incorporated in ranking the alternatives, and the distance between the performances of alternatives do not affect in ranking the alternatives. In order to modify the linear assignment method with the aim of incorporating the distance between the performances of the alternatives, some intervals are defined first, and each alternative is primarily ranked based on the interval that belongs to. In the ultimate ranking of the alternatives, the interval to which each alternative belongs to will be considered as the ranking criterion. Hence, not only the weight of the criteria, but also the distances between the performances of the alternatives has affected the ranking. The results of the modified method are compared to the TOPSIS method, as one of the most popular multi-criteria decision-making methods, and the outcome shows a better consistency between the modified model and TOPSIS.

Laparoscopy or minimally-invasive surgery is a surgical technique in which the surgical operations are performed via a few small incisions. This kind of surgery has fewer complications over open surgery. Finding methods for shortening the time of laparoscopic surgeries can improve operating room efficiency. An approach to shortening the time of laparoscopic surgeries is identifying the interruptions in these surgeries and preventing from their occurrence or reducing the potential of occurrence of the identified interrupt causes. In this paper, the interrupt causes of laparoscopic surgeries are prioritized based on the identified causal relations between interrupt causes. Research population is the laparoscopic surgeries performed in Hasheminezhad kidney center in May-June 2013. For this purpose, 25 laparoscopic surgeries are observed in this hospital in this time interval. Causal relations among interrupt causes are identified from the gathered data. The main causes are identified and ranked based on Fuzzy TOPSIS method. For prioritizing the interrupt causes, frequency of occurrence, average length, severity degree, the potential of reducing interrupt occurrence and the potential of preventing interrupt occurrence are considered.Experimental results show that the most important interrupt causes in laparoscopic surgeries are staff shortage or multi-tasking staff, foggy lens, unavailable surgical instruments, dirty lens and finally low-experienced staff. Moreover, sensitivity analysis on criteria weighting show that the mentioned interrupt causes are the five most-important interrupt causes in more than 80% of the evaluated scenarios.Preventing the occurrence of the most-important interrupt causes can improve the surgical time. If it is not possible, reducing the average length of interrupts caused by the identified main causes can be considered for improvement of the operating room efficiency.

In this study according to the scientific basis of SCM in the military section, which relies on Maximizing the weeknes and maximazing power of frendly forces enemy, we provided a modele due to evaloating and selecting annunition providers. In accordenc to this reason, after diagnozing and providing provides with deseining modale and using MADM metod, it is mention their method of evaloation in Asymmetric battles.The objctive of this study summerizing in choosing suitable ammunition provider and boosting SCM, varid from producting industries to armd forces, upon a doctorin of Asymmetric battles

In this paper, a methodical model with multidisciplinary decision-making techniques (MADM) is introduced to evaluate the options for determining the tasks of IRGC items. For this purpose, in the first step, the general indicators related to the assignment of items (ie, the total range of indicators that are effective in determining the optimal task) are extracted by interviewing and reviewing the documents. Then, group decision making methods (GDM) are used to limit and determine the indicators and obtain the weights of the indicators and options. First of all, if there is a relationship between feedback and indicators, the indicators are ranked using the Borda method and a linear mathematical model is used to determine its cardinal weight, and if the indicators have a hierarchical structure. A special vector method will be used for this purpose. Then, by forming a multidisciplinary decision matrix (MIADMI), as a model based on group decision-making techniques, options (including sales, elimination, conversion, etc.), depending on the conditions specified in the hawang algorithm. ), Weighted prioritization, and then the results are compared and analyzed using common fuzzy multivariate decision making (FMADM) methods. After the necessary analyzes, the general prioritization of the tasks of determining the tasks of the IRGC items is determined and appropriate suggestions can be provided. It should be noted that this method of prioritization can be used in each of the general and detailed classes of items or in any specific item that is needed and by creating stability in different levels of the organization to a reliable process and a decision-making system.