scholarly journals A Hybrid Multi-Criteria Decision-Making Model for Evaluating Companies’ Green Credit Rating

2019 ◽  
Vol 11 (6) ◽  
pp. 1506 ◽  
Author(s):  
Chia-Chen Yang ◽  
Shang-Ling Ou ◽  
Li-Chang Hsu
Keyword(s):  
Decision Making ◽  
Credit Rating ◽  
Technology Development ◽  
Social Performance ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Social Progress ◽  
High Tech ◽  
Multi Criteria Decision Making ◽  
Credit Evaluation

Along with economic development and social progress, environmental issues are increasingly becoming the subject of public concern. Through green credit, banks intentionally direct money into resource-conserving technology development and environmental protection industries, thus, encouraging enterprises to focus on green products. Therefore, establishing a reasonable green credit evaluation mechanism for banks is an important issue. Based on this, this study combines grey relational analysis (GRA), the Decision-Making Trial and Evaluation Laboratory technique (DEMATEL), analytic network process (ANP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to develop a hybrid multi-criteria decision-making (MCDM) model for quantifying data and, thereby, to establish a green credit rating mechanism. In order to verify the model, this study combines credit risk and economic, environmental and social performance evaluation criteria as green credit evaluation criteria. There are 55 high-tech listed companies in Taiwan in 2014 taken as the evaluation objects and conducted for a performance ranking. The empirical results can serve as a reference for financial authorities promoting green finance policies and for investors making investment decisions.

Selecting Candidate Suppliers Using a Multiple Criteria Decision Making Model

2013 ◽  
Vol 694-697 ◽  
pp. 3472-3475 ◽  
Author(s):  
Amy H.I. Lee ◽  
He Yau Kang ◽  
Chun Yu Lin ◽  
Hsin Wei Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
High Tech ◽  
Supplier Integration ◽  
Network Process ◽  
Decision Making Model ◽  
Selection Of

High-tech firms are usually under a dynamically changing and fierce competitive environment these days. In order to survive in such an intensive competitive international market, a firm not only needs to manufacture outstanding products that meet the demands of its customers, it also needs to have a comprehensive supply chain management. To achieve the benefits of buyer-supplier integration, in terms of increased internal efficiency and profitability of the players in a supply chain, the identification of viable suppliers is a preliminary step that needs to be properly managed. Thus, to be cost competitive and to acquire decent profit in the market, the selection of the most appropriate suppliers is essential. In this paper, a supplier selection model is constructed by applying methodologies including decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to determine the interrelationship among the evaluation criteria and to select the most appropriate suppliers for cooperation.

scholarly journals SOFTWARE SELECTION ON BASE OF SUGENO INTEGRAL

World Science ◽  
2020 ◽  
Author(s):  
Vagif Salimov
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Mutual Influence ◽  
Evaluation Criteria ◽  
Fuzzy Measure ◽  
Multi Criteria Decision Making ◽  
Main Difficulty ◽  
Software Selection ◽  
Sugeno Integral ◽  
Theory Of Fuzzy Sets

The article is devoted to the problem of  software selection. As a rule, this tasks are formalized as models of multi-criteria decision making (MCDM). The peculiarity of this problem is in the fact that the evaluation criteria , is generally defined by linguistic expert. This requires the use of special methods, in particularly, the theory of fuzzy sets. To solve the problem, an approach based on the  a fuzzy measure  was used . In general, a fuzzy measure allows one to take into account the effect of the mutual influence of criteria. The main difficulty lies in identifying this measure. The fuzzy Sugeno measure and  Sugeno integral were used. An example of solving the indicated problem is given.

An Expert System Based on a Hybrid Multi-Criteria Decision Making Method for Selection of Non-Conventional Machining Processes

2015 ◽  
Vol 735 ◽  
pp. 41-49 ◽  
Author(s):  
Arash Azaryoon ◽  
Musa Hamidon ◽  
Ashraf Radwan
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Reference Points ◽  
Multi Criteria Decision Making ◽  
Compromise Solution ◽  
Machining Processes ◽  
Workpiece Material ◽  
Topsis Technique ◽  
Conventional Machining ◽  
Selection Of

In this study, a knowledge-based system has been developed for selection of non-conventional machining processes using a hybrid multi-criteria decision making Method. This approach is a combination ofDEMATEL(Decision Making Trial and Evaluation Laboratory),ANP(Analytic Network Process) andVIKOR(VlseKriterijumska Optimizacija I Kompromisno Resenje, in Serbian, meaning Multi-criteria Optimization and Compromise Solution) methods which evaluates different types of quantitative and qualitative measures of performance and economic factors, and ultimately provides a set of capable processes in order of priority. Twelve machining processes, eight group of workpiece material and eighteen shape features have been investigated in this study. What separates this approach from others is that, this hybrid method considers the influence of factors in the network relation map as well as their relative importance. Moreover, unlike other popular ranking methods such as TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution), it is not just based on two reference points, namely ideal and inferior points; instead, it proposes a compromise solution and not just a single ranking score. Observations have shown that the developed system works satisfactorily, yields acceptable results and makes accurate decisions as well. It also provides a comparative study among the alternative processes by utilizing graphical features for better analysis and judgment of acceptable alternatives.

Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry

2018 ◽  
Vol 13 (1) ◽  
pp. 137-155 ◽  
Author(s):  
Javad Khazaei Pool ◽  
S. Mohammad Arabzad ◽  
Sobhan Asian ◽  
Milad Fahimi ◽  
Reza Verij Kazemi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Content Type ◽  
Shoe Industry ◽  
Sport Shoe ◽  
Network Process ◽  
Quantitative Basis

Purpose This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method. Design/methodology/approach Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. Findings The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. Originality/value The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.

scholarly journals SELECTING THE OPTIMAL RENEWABLE ENERGY USING MULTI CRITERIA DECISION MAKING

2013 ◽  
Vol 14 (5) ◽  
pp. 957-978 ◽  
Author(s):  
Abdolreza Yazdani-Chamzini ◽  
Mohammad Majid Fouladgar ◽  
Edmundas Kazimieras Zavadskas ◽  
S. Hamzeh Haji Moini
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Evaluation Criteria ◽  
Energy Resources ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Proposed Model ◽  
Negative Ideal Solution ◽  
Hierarchy Process ◽  
The Ideal

Renewable energies are well-known as one of the most important energy resources not only due to limited other energy resources, but also due to environmental problems associated with air pollutants and greenhouse gas emissions. Renewable energy project selection is a multi actors and sophisticated problem because it is a need to incorporate social, economic, technological, and environmental considerations. Multi criteria decision making (MCDM) methods are powerful tools to evaluate and rank the alternatives among a pool of alternatives and select the best one. COPRAS (COmplex PRoportional ASsessment) is an MCDM technique which determines the best alternative by calculating the ratio to the ideal solution and the negative ideal solution. On the other hand, analytical hierarchy process (AHP) is widely used in order to calculate the importance weights of evaluation criteria. In this paper an integrated COPRAS-AHP methodology is proposed to select the best renewable energy project. In order to validate the output of the proposed model, the model is compared with five MCDM tools. The results of this paper demonstrate the capability and effectiveness of the proposed model in selecting the most appropriate renewable energy option among the existing alternatives.

DETERMINING THE AREA SIZES OF EACH PRODUCT CATEGORY IN A DEPARTMENT STORE USING MULTI-CRITERIA DECISION MAKING METHODOLOGIES

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Gulcin Dinc Yalcin ◽  
Zehra Kamisli Ozturk
Keyword(s):  
Decision Making ◽  
Product Category ◽  
Department Store ◽  
Analytic Network Process ◽  
Pairwise Comparisons ◽  
Multi Criteria Decision Making ◽  
Department Stores ◽  
Ahp Model ◽  
Product Categories ◽  
Wide Range

In a department store, customers have the opportunity to reach a wide range of consumer goods from different product categories within a single store area. Store layouts generally show the size and location of each department, any permanent structures, fixture locations, and customer traffic patterns. Determining the area sizes to be allocated to each product category and the layout of these areas in the department store is a strategic planning decision problem. The layout problem has been studied in the literature with different approaches where the sizes of the areas are known. The first purpose of this paper is to determine the area sizes of each product category.   Customers decide to go to a department store for several reasons including the quality of products, services, location, etc. These reasons have been studied in the literature. However, “for which product categories do customers decide to go to a department store” is an open question. The second purpose of this paper is to find the frequency of product categories from the viewpoint of the customers. Therefore, our aim is to obtain the required results in a systematic way with multi-criteria decision making methodologies. For this purpose, we perform the Analytic Network Process (ANP) and the Analytic Hierarchy Process (AHP) from the viewpoints of department managers and customers, respectively.   In the ANP model, several tangible and intangible criteria such as product costs, the demands of customers, sales history, overall inventory, floor space and relationship with suppliers are chosen, and the intersections between them are specified. Pairwise comparisons are made by department store managers. The ANP outcome is the weight of each product category, and these weights are considered the percentage of the area size within the store from the viewpoint of the department stores. In the AHP model, a simple model is constructed to define the customers’ preference for each product category. Pairwise comparisons between product categories are made by the customers. Therefore, the outcome of the AHP model is the weight of each product category, and this is the preference of each product category from the viewpoint of the customers. The outcomes show that these weights may be different. This is an expected situation since even if a product category is preferred by some as the driver to visit a department store, the footprint of that category in the actual store may be small. The outcome from customers provides feedback to department store managers on which product category should be diversified as well as the area sizes of those categories.

scholarly journals A MODIFIED MCDM ALGORITHM WITH CUMULATIVE ENTROPY WEIGHTS FOR SELECTING THE WINNER OF THE TENDER

2019 ◽  
pp. 46-51
Author(s):  
A. O. Matin ◽  
F. Misagh
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Specific Weight ◽  
Multi Criteria Decision Making ◽  
Efficient Management ◽  
Research Findings ◽  
Utility Rate ◽  
Input Variables ◽  
Decision Making Model ◽  
Cumulative Entropy

The aim of this research is to evaluate the proposed bids using impartial and entropy weights in a multi-criteria decision-making model. We use matrix data for hypothetical bidding involving nine criteria, with the presence of four domestic and two foreign contractors. Then, using cumulative entropy function, we estimate the entropy weights and use it in a multi-criteria decision-making model. The criteria of experience and knowledge in the field, good history and satisfaction in previous projects, financial and support capabilities, localization of the contractor, having the experience at the site of the project, availability and readiness of equipment and machines, the adequacy of technical staff, the work quality system, the efficient management and appropriate management system, creativity and innovation in similar tasks are the input variables of the decision model. After analyzing them, the proposals are prioritized through a multi-criteria decision-making model. The research findings include Shannon entropy and cumulative entropy-based weights for evaluation criteria and after applying the specific weight for the proposed quotation, the utility rate of each contractor is calculated. The results showed that the use of modified multi-dimensional decision-making method is more advantageous than traditional methods of evaluating bidding proposals in selecting the winner of a tender, and also using cumulative entropy weights in comparison with Shannon's leads to a more realistic choice of contractors.

scholarly journals A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1597
Author(s):  
Chun-Ho Chen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Building Materials ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Topsis Method ◽  
Entropy Weight ◽  
Suitable Alternative ◽  
Multi Criteria Evaluation ◽  
Network Process

This article will tell you how to combine “entropy” in the model to reduce the bias of multi-criteria evaluation. Subjective weights are usually determined by decision makers based on their professional background, experience and knowledge, and other factors. The objective weight is obtained by constructing an evaluation matrix of the information based on the actual information of the evaluation criteria of the scheme, and obtained through multi-step calculations. Different decision-making methods are based on different weight types. Considering only one of the two weights often leads to biased results. In addition, in order to establish an effective supply chain, buyers must find suitable merchants among suppliers that provide quality products and/or services. Based on the above factors, it is difficult to choose a suitable alternative. The main contribution of this paper is to combine analytic network process (ANP), entropy weight and the technique for order preference by similarity to an ideal solution (TOPSIS) to construct a suitable multi-criteria decision (MCDM) model. By means of ANP-entropy weights to extend the TOPSIS method, ANP-entropy weights are used to replace subjective weights. A supplier selection decision-making model based on ANP-entropy TOPSIS is proposed. At last, the sensitivity analysis shows that, taking the selection of building materials suppliers as an example, the hybrid ANP-entropy TOPSIS method can effectively select suitable suppliers.

Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

2018 ◽  
Vol 6 (8) ◽  
pp. 6
Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Multi Criteria Decision Making ◽  
Service Support ◽  
Proposed Model ◽  
Network Process ◽  
Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

Adoption of Online Marketing for Service SMEs with Multi-Criteria Decision-Making Approach

2020 ◽  
pp. 356-374
Author(s):  
Lanndon Ocampo ◽  
Rosalin Merry Berdin Alarde ◽  
Dennis Anthony Kilongkilong ◽  
Antonio Esmero
Keyword(s):  
Decision Making ◽  
Small And Medium Enterprises ◽  
Analytic Network Process ◽  
Global Market ◽  
Service Industries ◽  
Online Marketing ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Mcdm Method ◽  
Medium Enterprises

This chapter attempts to fill in the gap of evaluating the viability of adopting online marketing for small and medium enterprises (SMEs) in service industries. As SMEs are generally characterized by shortage of resources, the use of online marketing strategies is apparently difficult. However, the current landscape of competition among SMEs in a global market economy prompts the necessity of adopting online marketing. With these, the decision-making process of SMEs in this area becomes complex and the decisions must integrate complex and interrelating criteria and constructs in order to provide a more holistic solution. Thus, this work adopts a multi-criteria decision-making (MCDM) method particularly the analytic network process (ANP) in order to evaluate the practicability of using online marketing for service SMEs. It becomes highly relevant as it provides significant insights to decision-makers in SMEs regarding the use of online marketing strategy. The contribution of this chapter lies in the application of MCDM in evaluating viability of online marketing in service SMEs.

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