A Hybrid Fuzzy DEMATEL-VIKOR Method for Product Concept Evaluation

2011 ◽  
Vol 186 ◽  
pp. 230-235 ◽  
Author(s):  
Xiao Hua Lin ◽  
Yi Xiong Feng ◽  
Jian Rong Tan ◽  
Xiang Hua An
Keyword(s):  
Evaluation Model ◽  
Evaluation Criteria ◽  
Multi Criteria Decision Making ◽  
Utility Weight ◽  
Vikor Method ◽  
Fuzzy Dematel ◽  
Product Concept ◽  
Effect Assessment ◽  
Concept Evaluation ◽  
Criteria Weights

The product concept evaluation plays a very important role in product development. It can be considered as multi-criteria decision making (MCDM) problem. In a MCDM problem, a decision maker has to choose the best alternative that satisfies the evaluation criteria among a set of candidate solutions. This paper introduces a compromise MCDM evaluation model which combines fuzzy DEMATEL and VIKOR methods. The criteria weights are determined based on separate cause-effect assessment of a group of experts using the fuzzy DEMATEL approach. The resulting criteria weights are applied to the decision analysis where the fuzzy VIKOR approach is adopted which determines a compromise solution by using utility weight.

scholarly journals A Thorough Analysis of Potential Geothermal Project Locations in Afghanistan

2020 ◽  
Vol 12 (20) ◽  
pp. 8397
Author(s):  
Ali Mostafaeipour ◽  
Seyyed Jalaladdin Hosseini Dehshiri ◽  
Seyyed Shahabaddin Hosseini Dehshiri ◽  
Mehdi Jahangiri ◽  
Kuaanan Techato
Keyword(s):  
Geothermal Energy ◽  
Multi Criteria Decision Making ◽  
Ratio Analysis ◽  
Project Implementation ◽  
Vikor Method ◽  
Geothermal Potential ◽  
Criteria Weights ◽  
Product Assessment ◽  
Current Energy ◽  
Suitable Location

In recent decades, many countries have shown a growing interest in the use of renewable energies for power generation. Geothermal energy is a clean and environmentally friendly source of renewable energy that can be used to produce electricity and heat for industrial and domestic applications. While Afghanistan has undeniably good geothermal potential that can be utilised to alleviate the country’s current energy limitations, so far this potential has remained completely untapped. In this study, the suitability of 21 provinces for geothermal project implementation in Afghanistan was evaluated using multiple multi-criteria decision-making (MCDM) methods. The stepwise weight assessment ratio analysis (SWARA) method was used to weigh each criterion while the additive ratio assessment (ARAS) method was used to rank potential geothermal sites. The technique for order of preference by similarity to ideal solution (TOPSIS), the vlse kriterijumsk optimizacija kompromisno resenje (VIKOR), and the weighted aggregated sum product assessment (WASPAS) methods were also used in this study. These rankings were then examined via sensitivity analysis which indicated that a 5% change in criteria weights altered the rankings in all methods except the VIKOR method. Volcanic dome density was ranked the most important criteria. All the methods identified Ghazni province as the most suitable location for geothermal project implementation in Afghanistan.

scholarly journals AN INTEGRATED FUZZY MULTI CRITERIA GROUP DECISION MAKING MODEL FOR HANDLING EQUIPMENT SELECTION

2014 ◽  
Vol 20 (5) ◽  
pp. 660-673 ◽  
Author(s):  
Abdolreza Yazdani-Chamzini
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Ahp ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Fuzzy Topsis ◽  
Equipment Selection ◽  
Order Preference ◽  
Criteria Weights

The problem of handling equipment selection plays a significant role in the total cost of a mining project; so that it can affect the activity and continuity of the project and is a strategic problem. In this study, an integrated model based on two fuzzy multi-criteria decision making techniques for handling equipment selection is proposed. The proposed evaluation model is derived from group decision making, fuzzy set theory, analytical hierarchy process (AHP), and Technique to Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The fuzzy AHP (FAHP) method is utilized to calculate the relative importance of the evaluation criteria, then, fuzzy TOPSIS (FTOPSIS) is applied for evaluating the feasible handling equipment in order to select the best handling system among a pool of the possible alternatives. The model is applied for a real world case study to demonstrate the capability and effectiveness of the proposed model. To investigate the result sensitiveness to the changes of the criteria weights, a sensitivity analysis is finally conducted.

Housing affordability evaluation based on the third-generation prospect theory and the improved VIKOR method

2021 ◽  
pp. 1-16
Author(s):  
Guancen Wu ◽  
Chen Li ◽  
Xing Niu
Keyword(s):  
Prospect Theory ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Housing Price ◽  
Housing Affordability ◽  
Third Generation ◽  
Vikor Method ◽  
Entropy Weight ◽  
The Third

Housing affordability is an important issue and can be measured by an increasing number of indicators. Different urban settings may lead to different housing affordability criteria. This study incorporates the third-generation prospect theory and improved VIKOR method to construct a novel, comprehensive evaluation model for assessing housing affordability. The housing price to income and rent to income ratios were chosen as evaluation indicators, and the yearly median value of each indicator was taken as a dynamic reference point. The housing affordability indicators’ realistic prospect value matrix for large- and medium-sized Chinese cities were obtained for the study period’s duration. The comprehensive housing affordability prospect values were ranked using the improved VIKOR with entropy weight method. The novel proposed approach’s rationality and effectiveness were examined by comparing the original and prospect values, performing sensitivity analysis on the prospect value parameters, contrasting the ordinary and improved VIKOR methods, and comparing the proposed approach with the TOPSIS method. The results demonstrate that the proposed method can consider the decision maker’s psychological factors, endow housing affordability evaluation criteria with dynamic characteristics, overcome the problem of order reversal, and ensure the optimal compromise solution. Therefore, the proposed approach is suitable for housing affordability evaluation.

scholarly journals AN INTEGRATED MULTI-CRITERIA DECISION-MAKING FRAMEWORK FOR SUSTAINABLE SUPPLIER SELECTION UNDER PICTURE FUZZY ENVIRONMENT

2020 ◽  
Vol 26 (3) ◽  
pp. 573-598 ◽  
Author(s):  
Juan-juan Peng ◽  
Chao Tian ◽  
Wen-yu Zhang ◽  
Shuai Zhang ◽  
Jian-qiang Wang
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Evaluation Criteria ◽  
Multi Criteria Decision Making ◽  
Sustainable Supply Chain ◽  
Vikor Method ◽  
Minimization Principle ◽  
Fuzzy Environment ◽  
Sustainable Supplier Selection ◽  
Exponential Entropy

Sustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method, is proposed to manage SSS problems. Firstly, the evaluation criteria of SSS, including economic, environmental and social, is established. This can be evaluated in the form of the actual data or linguistic terms provided by suppliers and experts respectively in an actual decision-making process. Then, according to the translated scales, all the evaluation information can be converted into picture fuzzy numbers (PFNs). Secondly, the picture fuzzy exponential entropy is defined. Moreover, based on the entropy’s minimization principle, the defined picture fuzzy exponential entropy is used to determine the weight of the SSS’s criteria. Thirdly, the extended VIKOR method, which combines the grey correlation coefficient, is utilized to select a suitable supplier. This method avoids the shortcomings of the traditional VIKOR method in data mining and solves the conflict between SSS criteria. Finally, the feasibility and effectiveness of the proposed integrated decision framework are verified by an experiment, as well as a sensitivity analysis and comparative analysis.

scholarly journals Ranking Chinese SMEs Green Manufacturing Drivers Using a Novel Hybrid Multi-Criterion Decision-Making Model

2018 ◽  
Vol 10 (8) ◽  
pp. 2661 ◽  
Author(s):  
Ying Luo ◽  
Xiaowen Jie ◽  
Xiaoping Li ◽  
Liming Yao
Keyword(s):  
Decision Making ◽  
Rapid Development ◽  
Evaluation Criteria ◽  
Green Manufacturing ◽  
Fuzzy Topsis ◽  
Fuzzy Dematel ◽  
Criteria Weights ◽  
Managerial Implications ◽  
The Government ◽  
Decision Making Model

While the rapid development of Chinese manufacturing SMEs has contributed significantly to economic growth, it has also resulted in environmental pollution and resource abuse problems. To resolve these problems, Chinese manufacturing SMEs need to accelerate their implementation of comprehensive green manufacturing (GM); However, this is a complex and arduous task as it involves government, enterprise and societal considerations. Therefore, it is has become imperative to identify Chinese manufacturing SMEs green drivers. Focusing on the current situation in China and using a combination of previous research and expert views, this paper comprehensively examines the development of SMEs in China to deconstruct the green driver dimensions. The identified drivers are then evaluated using a novel hybrid multi-criterion decision-making methods (MCDM), the evaluation criteria weights calculated using fuzzy DEMATEL and fuzzy TOPSIS employed to rank the green drivers. It was found that technology innovation, customer demand, incentives, regulations, supply chain pressure and public pressure were the most significant drivers for the implementation of GM in Chinese manufacturing SMEs. Finally, some managerial implications are given to assist the government, enterprises and the public focus on a few crucial drivers to ensure that the green transformation of Chinese manufacturing SMEs is scientific and efficient.

scholarly journals Evaluation of Cleaner Production for Gold Mines Employing a Hybrid Multi-Criteria Decision Making Approach

2018 ◽  
Vol 11 (1) ◽  
pp. 146 ◽  
Author(s):  
Weizhang Liang ◽  
Suizhi Luo ◽  
Guoyan Zhao
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Mineral Resources ◽  
Cleaner Production ◽  
Environmental Crisis ◽  
Multi Criteria Decision Making ◽  
Gold Mines ◽  
Criteria Weights ◽  
Probabilistic Linguistic Term Sets ◽  
Ranking Order

Implementing cleaner production (CP) is effective to resolve the contradiction between economic growth and environmental crisis. To avoid destroying the ecological environment in the exploitation process of mineral resources, CP has been developed in many gold mines to achieve the goal of sustainable development. Thus, this paper aims to propose a favorable approach to assess CP for gold mines. First, according to the specific characteristics of gold mines, an evaluation criteria system of CP is established. Meanwhile, considering the diversity of evaluation information, crisp numbers and probabilistic linguistic term sets (PLTSs) are adopted to indicate the quantitative and qualitative information, respectively. Subsequently, a modified experts grading method based on PLTSs is proposed to calculate the sub-criteria weights’ values. Following this, an extended Tomada de Decisão Interativa Multicritério (TODIM) method with hybrid evaluation values is presented to obtain the ranking order. Finally, the hybrid multi-criteria decision making (MCDM) approach is applied to a case of assessing CP for gold mines to demonstrate its feasibility. Furthermore, the robustness and advantages of this approach are justified by sensitivity and comparison analyses. The results show that the proposed approach is feasible to solve such kinds of evaluation problems with hybrid decision making information and can provide some managerial suggestions for government and enterprises.

scholarly journals Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

2021 ◽  
Vol 10 (6) ◽  
pp. 403
Author(s):  
Jiamin Liu ◽  
Yueshi Li ◽  
Bin Xiao ◽  
Jizong Jiao
Keyword(s):  
Decision Making ◽  
Clustering Algorithm ◽  
Fuzzy Membership Function ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Spatial Distribution Characteristics ◽  
Criteria Weights ◽  
Spatial Decision Making ◽  
Complex Decision

The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.

scholarly journals Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 525 ◽  
Author(s):  
Mehdi Keshavarz-Ghorabaee ◽  
Maghsoud Amiri ◽  
Edmundas Kazimieras Zavadskas ◽  
Zenonas Turskis ◽  
Jurgita Antucheviciene
Keyword(s):  
Essential Elements ◽  
New Method ◽  
Multi Criteria Decision Making ◽  
Analysis Of Means ◽  
Simulation Based ◽  
Criteria Weights ◽  
The Stability ◽  
Computational Analyses ◽  
Weighting Methods

The weights of criteria in multi-criteria decision-making (MCDM) problems are essential elements that can significantly affect the results. Accordingly, researchers developed and presented several methods to determine criteria weights. Weighting methods could be objective, subjective, and integrated. This study introduces a new method, called MEREC (MEthod based on the Removal Effects of Criteria), to determine criteria’ objective weights. This method uses a novel idea for weighting criteria. After systematically introducing the method, we present some computational analyses to confirm the efficiency of the MEREC. Firstly, an illustrative example demonstrates the procedure of the MEREC for calculation of the weights of criteria. Secondly, a comparative analysis is presented through an example for validation of the introduced method’s results. Additionally, we perform a simulation-based analysis to verify the reliability of MEREC and the stability of its results. The data of the MCDM problems generated for making this analysis follow a prevalent symmetric distribution (normal distribution). We compare the results of the MEREC with some other objective weighting methods in this analysis, and the analysis of means (ANOM) for variances shows the stability of its results. The conducted analyses demonstrate that the MEREC is efficient to determine objective weights of criteria.

CONFRONTING THE “GRAY ZONES” OF TECHNOLOGY ASSESSMENT: EVALUATING GENETIC TESTING SERVICES FOR PUBLIC INSURANCE COVERAGE IN CANADA

2003 ◽  
Vol 19 (2) ◽  
pp. 301-316 ◽  
Author(s):  
Mita Giacomini ◽  
Fiona Miller ◽  
George Browman
Keyword(s):  
New Technologies ◽  
Evaluation Model ◽  
Insurance Coverage ◽  
Unit Cost ◽  
Evaluation Criteria ◽  
Public Insurance ◽  
Evaluative Criteria ◽  
Predictive Genetic Tests ◽  
Decision Making Processes ◽  
Coverage Policy

We describe an evaluation model to guide public coverage of new predictive genetic tests in Ontario, Canada. The model confronts common “gray zones” in evaluation and coverage policy for challenging new technologies. Analysis addresses three domains of the evaluation picture. The first specifies evaluative criteria (purpose, effectiveness, additional effects, unit cost, demand, cost-effectiveness). The second induces or deduces acceptable cutoffs for each criterion. The third domain addresses the need to make decisions under uncertainty and to respond to “gray” evaluations with conditional-coverage decisions. The evaluation criteria should be applied within sound decision-making processes.

Rank Reversal and the VIKOR Method: An Empirical Evaluation

2018 ◽  
Vol 17 (02) ◽  
pp. 513-525 ◽  
Author(s):  
Blanca Ceballos ◽  
David A. Pelta ◽  
María T. Lamata
Keyword(s):  
Decision Making ◽  
Empirical Evaluation ◽  
Decision Problems ◽  
Multi Criteria Decision Making ◽  
Common Phenomenon ◽  
Vikor Method ◽  
Rank Reversal

Rank reversal is a common phenomenon in multi-criteria decision-making methods. It appears when the addition/deletion of new options to the alternatives’ set produces a change in the original ranking. In this contribution, we want to assess this phenomenon in the context of the VIKOR method. Using randomly generated multi-criteria decision problems, we confirmed that rank reversal existed and strongly depended on VIKOR’s parameter. Also, we observed that the influence of the number of alternatives was stronger than that of the number of criteria. Finally, although rank reversal may exist, we saw that it may not affect the top alternative of the ranking, thus potentially having a low impact.

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