multi-attribute decision-making

One of the challenges faced by managers in the field of social networks in virtual space is the lack of understanding of the reasons for the decrease or increase in the number of users across various social networks in cyberspace. Despite the appropriate capabilities of some domestic social networks, their popularity is much lower compared to foreign-based networks. Research conducted in the field of social networks has mainly focused on pathology and the identification of positive and negative effects. Additionally, most of these studies have been conducted on foreign social networks such as Instagram. On the other hand, the research has only focused on certain factors and has not taken a comprehensive look at all the effective factors. The main question of the current research is: What are the most important factors affecting the use of internal social networks in Iran's virtual space?

The primary goal of this research is to identify and prioritize the factors affecting the use of internal social networks in Iran's virtual space. To achieve this, fuzzy Delphi, best-worst fuzzy, and COCOSO methods were employed to rank these factors. All three methods are part of quantitative techniques and utilize judgmental quantitative data for analysis and prioritization. The fuzzy Delphi method was used to screen the research factors, while the COCOSO technique was employed to rank the factors affecting the use of internal social networks in Iran's virtual space. The weight of the evaluation indicators for the research factors was also calculated using the fuzzy best-worst technique. Due to the quantitative nature of the techniques used in this research, it adopts a multi-method quantitative methodology. Furthermore, given the practical implications of the research findings for internal social networks, this study has a practical orientation. Data were collected using two interview tools and a questionnaire. Factors affecting the use of internal social networks were extracted from an analytical review of studies on social media and social networks. Subsequently, to evaluate these factors, three questionnaires—fuzzy screening, pairwise comparison, and COCOSO priority assessment—were distributed among experts. Screening questionnaires were evaluated using the fuzzy Delphi method; pairwise comparison questionnaires were assessed with the best-worst fuzzy method, and priority evaluation questionnaires were analyzed using the COCOSO method.

The present research was conducted in three stages. In the first step, 24 factors were extracted through literature review and interviews with experts. In the next step, these factors were screened by distributing expert questionnaires and employing the fuzzy Delphi method. Eight factors had a defuzzified score higher than 0.7 and were selected for final ranking. Finally, the screened factors were ranked through the distribution of priority questionnaires and the COCOSO method. The prioritized factors included: the variety of services provided by the social network, users' trust in the social network, users' privacy and security, and social networks' monetization policies.

The current research seeks to identify and prioritize factors affecting the use of internal social networks in Iran. Most of the research conducted in this field pertains to foreign social networks such as Instagram. Conversely, previous studies have only considered certain variables, and the factors have not been comprehensively investigated and evaluated. The present research was conducted in three stages. In the first step, 24 factors were extracted through literature review and interviews with experts. The interviews with some experts were conducted to enrich the list prepared from the literature. Despite utilizing qualitative methods for thematic analysis, since most of the methods employed in this research were quantitative in nature, it is classified as a quantitative study in terms of methodology. Seven factors were added to this list by experts. Eight factors were in good condition in terms of their defuzzified scores and were selected for final ranking. The screened factors were evaluated and ranked using the COCOSO method. According to the scores of the final factors, the diversity of services provided by the desired social network, users' trust in the desired social network, users' privacy and security, and the social network's income generation policies were prioritized, respectively. Practical research proposals were developed based on the most important factors. Some practical suggestions include developing a specific business model, gaining users' trust, establishing regulations, creating a specific revenue plan, and paying attention to technology ethics.

In this paper, inspired by a real case study, a hierarchical approach is presented for supplier development and supporting its critical decisions in each stage. Supplies needing development and their eligible suppliers for development are first identified using the best-worst multi-criteria decision-making method. The related decision criteria are selected based on the literature review and subjective opinions of procurement experts. Finally, a bi-objective mathematical model is proposed for selecting and allocating candidate development plans to each candidate supplier. The objectives of the proposed model include maximizing the degree of achievement of the development goals of the buyer and maximizing the net present value of the development plans’ portfolio (i.e. the selected development plans for eligible suppliers). The computational results and derived managerial insights demonstrate the effectiveness and applicability of the proposed approach and its ability to support supplier development decisions for the buyer.

In the last four decades, multi-attribute decision-making has always been an active field of research and application. So far, the focus has been developing or applying multi-attribute decision-making techniques to rank existing options. However, multi-attribute decision-making is not limited to this type of problem and also includes sorting problems. This study proposes a hybrid approach of linear goal programming-based best-worst and multi-attribute sorting methods to form a stock portfolio in the Tehran Stock Exchange. In this study, the weights of the attributes affecting the stock portfolio selection were determined using the linear goal programming-based best-worst method. Then, the stock portfolio was formed using the proposed multi-attribute sorting method. The proposed method can consider decision-maker preferences such as the range of stocks in the portfolio or the maximum number of stocks in each industry. The results obtained from the proposed method were compared with TOPSIS-Sort and VIKOR-Sort methods. The results showed the high accuracy of the proposed method, and the stock portfolio formed by the proposed method was significantly more profitable than other methods. The proposed approach in this research can be applied to different real-world sorting problems.

The different rate of having in factors, including natural, economic, social and political factors, causes or increases regional inequality. Attention to balanced and all-embracing development approach in the provinces, reducing inhomogeneity and inequality, and creating territorial justice, policy and planning for the realization of goals that vary with regard to the structural features, facilities and constraints of each province, requires studying and recognizing the characteristics of each province according to its position in the whole country. In this research, the status of different provinces of the country in the fileds of "social, cultural and economic", "economic and productive" and "infrastructure and technology" were reviewed and compared, in terms of development and progress, by K-means as one of the Clustering Analysis methods. The results of the ranking of the province indicate different positions of the provinces. By determining the level of progress of the province at the five levels, the priorities of the provinces are determined. For example, while the province of Isfahan is classified as a developd province for its infrastructure, it is a developing province in the economic and social indicators. Or Tehran province, while it is a developed province in the infrastructural and economic indicators, it is an undeveloped province, in the social indicators, at the same time.

One of the most known subjects in management literature is performance assessment. In this paper, we have tried to provide a hybrid model in order to evaluate the performance of Iranian gas Transmission Company's operational zones. After an initial screening, due to the low number of Decision making units, different combination of two input and one output are defined. 6 inputs and 4 output criteria have been chosen in initial screening. Based on the experts' judgments, weights or importance of different combinations of input and output extracted using SWARA technique. Then, based on the 22 different combinations, we calculated operational zones efficiency using DEA in the form of CCR and BCC models. In fact for each combination of two input and one output, efficiency for each operational zone has been calculated. Finally, there has been a decision matrix which its’ criteria were equal to different combinations of input and output criteria and their weights gained by SWARA and scores within the matrix were equal to taken efficiency from DEA. In order to calculate final efficiency and prioritizing each operational zone WASPAS technique is used. We use Cohen's kappa coefficient in order to prioritizing validation. The results show that zones 10, 7 and 6 with the highest efficiencies can be appropriate pattern for other zones in resource saving.

Today, the diversity of human needs as well as increased competition has led organizations to develop new products. Also because of the importance of environmental issues, it is important to focus on green product development. The purpose of this study is to identify factors affecting the development of green product in tile and ceramic industry of Yazd, to investigate criteria ratings, and finally to design a model for the development of green products. The statistical population of current study is part of tile industry experts in Yazd province. In this research, while studying valid Persian and English articles related to the subject (library method), experts' opinions were also employed through a questionnaire. According to the research background as well as the experts' opinion polls, 40 factors were identified as effective factors and 7 criteria were identified as ranking criteria. The top 10 factors are then chosen using statistic tests and multiple attribute decision making (MADM) techniques such as Taxonomy and Entropy. Finally, a model is suggested for producing green products in tile and ceramic industry of Yazd using interpretive structural modeling. Items like assessing suppliers from the perspective of environmental issues, the possibility of reusing and recycling of waste, green packaging and differentiation by producing new products are placed at the top of this model

Minimization of costs and maximization of product quality are key factors for success in a supply chain network (SCN).The SCN is considered four echelons: suppliers, middle assemblers, final assembler and retailers that supply a single type product consists of four components. In this paper in addition to the supplier selection, the assemblers and warehouses are selected. The assembly process of the products such as automobile, tractor, consist of multiple stage, therefore in this paper, the assemblers are divided in two groups: multiple middle assemblers (which assemble the component of the product), a final assembler (assembles the final product). In this paper an integrated approach for middle assemblers selection based on multi attribute decision making (MADM) and suppliers selection based on multi objective decision making (MODM) is proposed. First the weight of the attributes (cost, quality, delivered time and warranty) is determined by ENTROPY method and then the middle assemblers are selected by TOPSIS method. The model consists of two minimization of costs and maximization of quality which is solved by CHEBYSHEV goal programming to select suppliers. Application of proposed method is shown by numerical example and optimal solutions have been compared considering one objective and two objectives.

Considering the fact that one of the main indicators to measure spatial justice in a geographic area, undoubtedly, a fair and equal distribution services. If the distribution of rural services does not commensurate with the needs of residents, will cause a lot of problems in the regional system.  Therefore, the problem of this research will form the mainstream is an “assessment of spatial justice in the distribution of public services in rural district Mosherehat of Ahvaz”.

This study from to goal is a kind of theoretical research, application and in terms of the nature and method of analysis and description. Data collection was carried out in two forms questionnaires completed by 30 expert rural affairs and population and housing census data reveals of 1390. Used software is included Expert Choice and ArcGIS10.4.1. In this study, we used the analytical hierarchy process to determine of criteria importance coefficients and from multiple attribute decision making Methods; for example, topsis, electre, vikor, promethee and integrated collection; such as, the average rank, borda, copeland and finally post, to assess spatial equity in the distribution of public services was discussed.

Reviews in this study indicate that between selected criteria in this important, sanitary and therapeutic indexes allocated the maximum amount, for example, 0/163 to, and criteria education and culture, distance from the city of Ahvaz and also agriculture index.

Respectively, on the next level are the highest value and importance with scores 0/163, 0/133, 0/124 and 0/120. That between the 20 rural points of the rural district located three villages in absolutely perfect condition, one village an appropriate condition, three villages in moderately suitable The condition, four village unsuitable conditions, and nine villages in absolutely unsuitable condition. Thus, the village of Istgahe Khosravi as the most developed village of rural the district has known the greatest potential for creating service centers in the region.

By developing information technology and emerging online markets, planning for these markets and analyzing their details has become a priority for beneficiary organizations. One of the most important online markets in Iran is SIM card credit services that are considered as online stores. Regarding numerous and increasing number of online malls, grouping and classification of online malls from the supplier's point of view is essential to forecast cooperation. In this paper, around three thousand online stores have been studied and analyzed by using the data from one of famous suppliers and they have been clustered according to supplier's indexes. Clustering process has been done using SOM Neural Network in two levels by K-means algorithm since it facilitates analysis of clusters. Although various validation indicators have been developed to determine the best number of clusters. In this paper, an optimizing model of compensatory approach to indexes is presented through combination of multi criteria decision making and aggregation of various indexes.

Today's business environment has caused a high level of uncertainty and turbulent behavior in supply chain. Suppliers in most cases are the main sources of external risks which provide widespread levels of disruptions in supply chains. For that reason, suitable and resilience supplier selection can significantly reduce purchasing costs and lead times and increase the business continuity in case of disruptions and to comply with this, the enterprise's competitiveness and customer satisfaction. The aim of this study is Identification and prioritization of suppliers’ resiliency criteria at Avrand's Industrial Group supply chain by using combination of Fuzzy Delphi and BWM as a new MADM method. The results showed that agility, redundancy, and visibility respectively are the most important criteria in evaluating resiliency of Avrand's suppliers. Finally, based on the results of this research, some implementation and research recommendations were provided.

Designing the layout of facilities such as machinery, sections, work stations, etc. together should be done in such a way that the suppliers can present their products and services at maximum productivity and profitability by taking into consideration a set of objectives, restraints, and other conditions. Layout design and arrangement of facilities is typically a multi-attribute problem in which the quantitative as well as the qualitative criteria are important. In this article, a multi- attribute decision- making technique is proposed based on polygons area on the Radar diagram for ranking different layout design patterns using two groups of criteria. To indicate the efficiency of the proposed method and certainty of the obtained results, Spearman’s rank order correlation between the ranks obtained using this method and other frequently used and important multi-attribute decision- making methods was computed. The obtained results show that there is a high correlation between the rankings obtained from the polygons area method for selecting suitable layout with other frequently used multi-attribute decision-making methods. Thus, the proposed method can be recommended for selecting appropriate layout and other issues concerning industrial media.

This paper aims to evaluate the financial performance of manufacturing industries member of the Tehran Stock Exchange.The MCDM method is applied to Evaluate five industry members of the Tehran Stock Exchange. Each industry includesseveral companies. Evaluation criteria in this study were identified using literature research and data are needed for the years1386 to 1391, the Tehran Stock Exchange databases were collected. FAHP method is applied to determine the weight ofcriteria. After determining the weight of criteria, TOPSIS and VIKOR are applied as compromised methods to evaluate thecompanies. In the compromised method the distances of positive ideal solution and negative idea solution are consideredsimultaneously. On the other hand, the maximum distances of ideal solution are also considered. Finally, using the result ofTOPSIS and VIKOR and then taking advantage of the linear assignment method, and the results of calculations carried outpriorities final step after each stage is given. In the end, the conclusion is presented.

In recent years, supplier selection problem has become one of the most important issues for establishing an effective supply chain system. Many quantitative and qualitative factors such as quality, price, and flexibility and delivery performance must be considered to determine suitable supplier. Then, supplier selection is a multi-attribute decision making (MADM) problem.  Several models and techniques have been developed to deal with this problem. In this study, FRS application is described in supplieir evaluation and selection problem. The Shannon entropy method has been used to calculate the each of indicators weights. The advantage of this method is that the positive or negative indicators, does not affect the calculation method.This is a descriptive-survey study which is done in large automotive components in Semnan. The results indicate that Parmida, Samfar, Gharb Steel and Shishe Imeni Kabir companies are at the first to fourth, respectively in the ranking based on competitive capabilities.