multi-criteria decision making

The purpose of this paper is to address the significant challenge of optimizing the placement of digital television signal booster towers to ensure quality coverage and equitable access to high-quality media services in today’s digital landscape. This paper introduces a novel multi-criteria decision-making method, named Evaluation based on Distance from Ideal Solution (EDIS), inspired by the EDAS method, aimed at enhancing decision-making processes in this context.

The EDIS method is utilized for the optimal placement of digital television signal booster towers. The method considers various cost and benefit criteria, including annual maintenance cost, tower price, signal sensitivity and boosting power, unmet quality standards, operator complexity level, and interference resistance, to determine the most suitable locations for tower placement.

The application of the EDIS method to a real-world case study demonstrates significant improvements in decision-making accuracy and efficiency over existing methods, offering enhanced support for optimal decision-making in the placement of digital television signal booster towers.

Originality/Value: 

The proposed EDIS method presents a novel multi-criteria decision-making tool that combines innovative features with advanced optimization capabilities. It contributes significant scientific value to the field by providing an effective solution for optimizing the location of digital television signal booster towers, thereby enhancing decision-making processes in this domain.

Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. Due to the importance of using these algorithms in analyzing financial market data that have a high volume and scope, this study in order to select the best clustering algorithm for clustering companies listed on the Tehran Stock Exchange in the field of finance from It has used different clustering algorithms and evaluated the validity of these algorithms and selected the best algorithm.

This research is applied in terms of purpose and descriptive in terms of implementation method and is of quantitative type (mathematical modeling). The statistical population of the research includes 403 companies listed on the Tehran Stock Exchange in 2019, whose performance has been evaluated based on four financial criteria.

After clustering the surveyed companies by five clustering algorithms, namely K-means, EM, COBWEB, density-based algorithm and ward method, seven indicators RS, DB, Dun, SD, Purity, Entropy and Time were used to evaluate the algorithms. Finally, the total performance of the algorithms was analyzed based on TOPSIS, VICOR and DEA methods. Based on the results, K-means has a better performance in clustering based on the financial data sets.

Originality/Value:

 Since no clustering algorithm can have the best performance in all measurements for each data set, this study uses a combination of multiple criteria to analyze data clustering algorithms related to the field of financial performance appraisal. Companies have provided suggestions and the results of this study have been used effectively for investors in the field of finance, which leads to the optimal choice of investment portfolio.

The wood and paper industry is one of the oldest industries with a high level of income generation and employment. The supply chain of this industry includes the exploitation of natural resources and wood cultivation to industrial factories for the production of wooden boards and workshops for the production of wood and paper products. This chain in Iran is involved in challenges that have reduced the productivity of this industry. This research introduces an integrated approachbased on the Quality Function Deployment (QFD) and Multi Criteria Decision Making (MCDM) techniques to identify the most important issues in supply chain of Iran's wood and paper industries and to provide proper improvement solutions. In this way, 45 problems were identified in the field of wood and paper industry by reviewing the literature. The issues identified by the TOPSIS method were ranked according to 4 criteria of the level of influence on production, price, sales and quality. In this stage, 23 problems were selected to enter the House of Quality (HoQ) matrix, and 12 solutions were presented to solve and improve them. The final weight of problems and solutions and the correlation between solutions were identified according to the HoQ matrix. The results show that the most important issues facing the wood industry are the lack of proper and accurate production statistics, many problems and cumbersome rules in the process of receiving bank facilities, the lack of supervision by government departments on the wood market, and the low awareness of producers about the wood market. Also, the most important solutions for improvement are planting early trees, providing raw materials for wood structure, creating settlements and industrial clusters related to wood products, allocating government resources to the market, monitoring more government agencies on wood products, and creating the necessary standards on the market. It is noteworthy that for the implementation of the solutions, attention must be paid to the correlation between the solutions so that the effect of synergy is created in the implementation of the solutions.

This article seeks to provide a flexible structure for the learning organization tailored to the conditions of Iranian schools. Using this structure, schools, as an educational organization, facilitate innovation and effectiveness in the face of an ever-changing environment. Also, teaching human values and principles of education help students become people who live in a healthy and civilized way in a world rich in future technologies.

This paper uses multi-criteria decision-making methods and fuzzy techniques such as fuzzy Delphi and DEMATEL and ANP techniques to provide an executive and operational framework in school learning organizations.

The results show the structures of the learning organization, the skills of the learning organization, and the technologies of the learning organization as the main criteria of the learning organization in Iranian schools, respectively. Also, reinforcing leadership sub-criteria, knowledge management technology, personal abilities, and subjective models with the nature of cause play a crucial role in forming learning organizations in schools.

Originality/Value:

 Researchers have identified the way for Iran to achieve the economic goals envisaged in the Iran Vision 2025 document, the transformation of Iranian organizations into learning organizations. However, the study of databases such as Irandak, scientific information of Jihad Daneshgahi, and the citation database of sciences of the Islamic world shows that limited efforts have been made in this direction, especially in schools in Iran. Without focusing on why and what the learning organization is, this article, using the dimensions and criteria introduced for the learning organization, points out how to provide a flexible structure for the learning organization appropriate to the conditions of Iranian schools.

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.

In working with Interval-valued intuitionistic fuzzy sets according to considering the membership and non-membership function simultaneously, as well as the interval of the data type, we face to a lot of flexibility to allocate data by the decision maker. Comparison between them, as one of the first concepts in the decision-making process, does not seem so simple. For this purpose, in this paper we present an integrated and efficient method and a new way to prioritize interval-valued intuitionistic fuzzy numbers. Then we apply this method to assess the qualitative qualification of contractors.

Use interval valued intuitionistic fuzzy sets along with multi criteria decision making.

New ranking method of interval valued intuitionistic fuzzy sets is apllied in evaluating operational units. In addition, by giving a practical example while describing the process performance, the output of the work is observed.

Originality/Value:

 A new method is proposed to determine the preference between interval valued intuitionistic fuzzy sets. In addition, an efficiency process is introduced to assess the qualitative qualification of contractors.

Provide a way to consider the validity of the opinions of each expert in the COPRAS multi-criteria group decision-making process using the concepts of type 2 interval and punctual fuzzy sets.

The proposed method uses general (punctual) type 2 fuzzy numbers to express the values ​​of the experts' options, as the confidence degree noted by the secondary membership degrees. The analyst uses the resulting decision matrix and calculates the overall confidence level using the criteria' alternatives scores. The proposed approach obtains a balanced weight matrix by multiplying the scores of each criterion and its weight. The model calculates the credibility of the superiority of each alternative, finds the final alternative utility, and finally selects the optimal solution.

The numerical example results show that the proposed method improves the Coopers fuzzy multi-criteria group decision problem using punctual type 2 fuzzy sets.

The use of punctual type 2 fuzzy sets to express the validity of each expert's opinion from the researcher's point of view, in addition to flexibility, also increases the quality of the response.

Todays, the use of maturity models is one of the most important ways to assess the maturity status of project management in an organization. These models help organizations to compare their capabilities at the level of projects and organizational strategies with a specific and scientific standard. The purpose of this paper is assessment the maturity of organizational project management based on OPM3 model in the project execution department of Mobarakeh Steel Company.

In order to assess the maturity of project management, first the interview questions in each of Knowledge Areas were identified using library studies, then information was collected in the form of interviews with experts and managers of Mobarakeh Steel Company. After that, Additive Ratio ASsessment method was used for ranking the Project Management Knowledge Areas according to the obtained results.

The results show that the project execution department has a better performance in the knowledge Area of project schedule management than other areas.

In this research, the performance of the project execution department of the Company is evaluated and analyzed based on OPM3 model. According to the results, applied suggestions for improving project management performance are presented.