Papers Categories Research purposes Combinations Remarks Fuzzy logic and DEMATEL Kuo [125 ] Interrelationships Construct a suitable evaluation structure between criteria and propose a hybrid method for optimal location selection for an international distribution center AHP/ANP, fuzzy TOPSIS, fuzzy measure Defuzzification-CFCS/threshold value-average Altuntas et al. [126 ] Interrelationships Find the closeness ratings between the facilities and propose a fuzzy approach for facility layout problem Defuzzification-CFCS Altuntas and Yilmaz [127 ] Interrelationships Identify the cause and effect factors of marketing resources and prioritize them for small- and medium-sized enterprises Defuzzification-CFCS/threshold value-average Kabak et al. [128 ] Interrelationships Determine critical success factors shaping the competitiveness level of the iron and steel industry in Turkey Defuzzification-CFCS Luthra et al. [129 ] Interrelationships Evaluate the enablers in solar power developments in in India’s current scenario Defuzzification- bisection of area Wu and Lee [130 ] Interrelationships Propose a method to segment required competencies for promoting the competency development of global managers Defuzzification-CFCS Liou et al. [131 ] Interrelationships Map out the structural relations and identify key factors and develop a method for building an effective safety management system for airlines Defuzzification-COA/threshold value-experts Tseng [132 ] Interrelationships Integrate hotel service quality perceptions into a cause-effect model for assessing characteristics criteria of service quality measurement Defuzzification-CFCS/inner dependence matrix Tseng and Lin [133 ] Interrelationships Handle relations between cause and effect of criteria and develop a cause and effect model of municipal solid waste management Defuzzification-CFCS/inner dependence matrix Chang et al. [134 ] Interrelationships Evaluate supplier performance to find influential criteria in selecting suppliers Defuzzification-CFCS Chang and Cheng [135 ] Interrelationships Analyze the relation between failure modes and causes of failure and propose an approach to rank the risk of failures Fuzzy OWA Defuzzification-maximum degree of membership Zhou et al. [136 ] Interrelationships Analyze causal relationships and identify key success factors for improving the overall emergency management Defuzzification-CFCS Tseng et al. [137 ] Interrelationships Handle the intertwining within a set of criteria and provide an integrated service quality expectation model for improving hot spring management Inner dependence matrix Tseng [138 ] Interrelationships Handle the inner dependence within decision criteria of EKMC and develop a model for evaluating the firm EKMC capacity Defuzzification-CFCS/inner dependence matrix Wu [139 ] Interrelationships Segment the critical factors for successful knowledge management implementations Defuzzification-CFCS Lin [140 ] Interrelationships Examine the cause and effect relationships among criteria and form a structural model to evaluate green supply chain management practices Defuzzification-CFCS/inner dependence matrix Patil and Kant [141 ] Interrelationships Identify critical success factors of knowledge management adoption in supply chain Defuzzification-graded mean Rouhani et al. [142 ] Interrelationships Evaluate and assess the critical factors in ERP project implementation Fuzzy AHP Defuzzification-CFCS Wu et al. [143 ] Interrelationships Identify critical factors influencing the use of additives by food enterprises in China Defuzzification-CFCS/threshold value-quartile Zhou et al. [144 ] Interrelationships Measure the relationships among different factors and develop a root cause degree procedure for measuring intersection safety factors Defuzzification-CFCS Dou et al. [145 ] Interrelationships Examine the cause-effect interrelationships among ESDPs and proposes a model for focal companies to evaluate ESDPs Fuzzy scoring method Defuzzification-CFCS Govindan et al. [146 ] Interrelationships Evaluate the drivers of corporate social responsibility implementation in the mining industry Defuzzification-centroid method Routroy and Sunil Kumar [147 ] Interrelationships Identify and establish relationship among various supplier development program enablers in a specific manufacturing environment Defuzzification-CFCS/threshold value-average Tyagi et al. [148 ] Interrelationships Assess critical enablers for flexible supply chain performance measurement system Defuzzification-CFCS/threshold value-average Wu et al. [149 ] Interrelationships Identify interactions among these criteria and explore decisive factors in green supply chain practices Defuzzification-CFCS/inner dependence matrix Sangaiah et al. [150 ] Interrelationships Evaluate GSD project outcome factors and find the significance of criteria in organizational behavior research phenomenon TOPSIS Defuzzification-CFCS/weights-vector length Malviya and Kant [151 ] Interrelationships Predict and measure the success possibility of green supply chain management implementation Defuzzification-CFCS/weights- Patil and Kant [152 ] Interrelationships Evaluate weighting of criteria and propose a prediction framework for knowledge management adoption in supply chain Defuzzification-CFCS/weights- Sangaiah et al. [153 ] Interrelationships Present an integrated framework to evaluate knowledge transfer effectiveness with reference to GSD project outcome TOPSIS, ELECTRE Defuzzification-CFCS/weights- Bakeshlou et al. [154 ] Interrelationships Understand the interrelation among criteria and propose a hybrid MODM algorithm for green supplier selection Fuzzy ANP, fuzzy MOLP Defuzzification-CFCS/weights-fuzzy ANP Fuzzy-based DEMATEL Jassbi et al. [155 ] Interrelationships Capture the causal relationships between strategic objectives for a strategy map BSC Defuzzification-COG Lee et al. [156 ] Interrelationships Reanalyze and explain the causal relationship and level of mutual effect between variables in TAM Defuzzification- CFCS(T)/threshold value Valmohammadi and Sofiyabadi [157 ] Interrelationships Analyze the causes and effects relations of strategy map and develop a strategy map for an automotive industry BSC Defuzzification-CFCS2/normalization and aggregation Younesi and Roghanian [158 ] Interrelationships Assume the interdependence of customer attributes and propose a framework for sustainable product design QFD, fuzzy ANP Defuzzification- centroid method/threshold value-fuzzy MMDE Lin and Wu [159 ] Interrelationships Propose a causal analytical method for group decision making under fuzzy environment and applied it for R&D project selection Defuzzification-CFCS2/normalization and aggregation Fekri et al. [160 ] Interrelationships Identify the cause and effect groups of critical success factors of agile new product development process Explanatory factor analysis Defuzzification-CFCS2/normalization and aggregation Jeng and Tzeng [161 ] Interrelationships Explore the causal relationship between UTAUT variables and examine social influence on the use of clinical decision support system Defuzzification-CFCS (T)/threshold value-experts Chou et al. [162 ] Interrelationships Establish contextual relationships among criteria and evaluate the criteria for human resource for science and technology Fuzzy AHP Defuzzification-CFCS2/normalization and aggregation Afsharkazemi et al. [163 ] Interrelationships Measure direct and indirect relationships between factors and identify key factors affecting the hospital performance Defuzzification- centroid method/normalization and aggregation Ren and Sovacool [164 ] Interrelationships Identify cause-effect relationships among energy security metrics, to determine the most salient and meaningful dimensions and energy security strategies Defuzzification-CFCS2 Akyuz and Celik [165 ] Interrelationships Evaluate critical operational hazards during gas freeing process in crude oil tankers Defuzzification-COA Tsao and Wu [166 ] Interrelationships Evaluate the cause-effect relationship of complex drilling problems for compound special-core drilling composite materials Defuzzification-CFCS2/normalization and aggregation Ho et al. [167 ] Interrelationships Analyze the cause-effect relationship and the mutual influence of information security control items and identify core control items for information security management and improvement strategies Defuzzification-CFCS2/threshold value Jeng [168 ] Interrelationships Probe the relationships among key dimensions in supply chain collaboration to enable better strategic development of manufacturing firms Defuzzification-CFCS (T) Liu et al. [169 ] Interrelationships Analyze the relations between failure modes and causes of failure and propose a risk assessment methodology to rank the risk of failures FWA Defuzzification-graded mean Panaihfar et al. [170 ] Interrelationships Explore the key factors in retailer selection for collaborative planning, forecasting, and replenishment and the relationships between these factors Defuzzification-COA/threshold value-average of positive Hsu et al. [171 ] Interrelationships Find the key factors in building the structure relations of an ideal customer’s choice behavior and propose a framework for marketing strategic planning Fuzzy ANP, fuzzy AHP Threshold value-average Cebi [172 ] Interrelationships Determine critical design characteristics of websites based on interactions among them and present an integrated methodology to evaluate the perceived design quality of shopping websites Choquet integral Defuzzification- centroid method/weights- Gigović et al. [173 ] Interrelationships Evaluate land suitability for the development of ecotourism in the region of “Dunavski Ključ” Weights-vector length Jeong et al. [174 ] Interrelationships Identify rural housings’ suitable sites in reservoir areas under (mass) tourism Weights-vector length Rahimdel and Bagherpour [175 ] Interrelationships Determine the importance degree of criteria for the haulage system selection for open pit mines Fuzzy TOPSIS Dalalah et al. [176 ] Interrelationships Deal with the influential relationship between the evaluation criteria and propose a hybrid fuzzy model for supplier selection Defuzzification/weights-vector length/normalization and aggregation Hiete et al. [177 ] Interrelationships Analyze and correct for relations between variables in a composite indicator for disaster resilience Dependency weights/threshold value-graphical method Wang and Chen [178 ] Interrelationships Derive the priorities of technical attributes and develop a fuzzy MCDM based QFD to assist an enterprise for collaborative product design QFD, LIP Defuzzification- centroid method (T) Wang [179 ] Interrelationships Recognize the causalities between marketing requirements and technical attributes and propose an approach to conduct vendor assessment for business-intelligence systems QFD, fuzzy AHP Defuzzification-COA (T)/weights- Baykasoğlu et al. [180 ] Interrelationships Evaluate the weights of the criteria and propose a model for solving truck selection problem of a land transportation company Fuzzy TOPSIS Defuzzification-signed distance method/weights-vector length Wang and Wu [181 ] Interrelationships Identify the dependence among evaluation factors and propose a framework to evaluate programmable logic controller suppliers Fuzzy AHP Defuzzification- centroid method (T) Fetanat and Khorasaninejad [182 ] Interrelationships Deal with the influences of criteria into each other and propose a hybrid MCDM approach for offshore wind farm site selection Fuzzy ANP, fuzzy ELECTRE Defuzzification-Yager ranking method (T)/inner dependence matrix Hu et al. [183 ] Interrelationships Addresses the interdependence and feedback effects between criteria and develop a hybrid MCDM model to improve mobile commerce adoption Fuzzy DANP, fuzzy VIKOR Weights-fuzzy DANP/fuzzy IRM Keskin [184 ] Interrelationships Analyze the interactions between criteria and determine their weights for supplier evaluation and selection Fuzzy c-means algorithm Defuzzification-signed distance method/weights-vector length Pamučar and Ćirović [185 ] Interrelationships Obtain the weight coefficients of criteria and present a model for the selection of transport and handling resources in logistics centers MABAC Defuzzification-graded mean (T)/weights-vector length Taşkin et al. [186 ] Interrelationships Determine the importance weights of evaluation criteria and propose a framework for evaluating the hospital service quality Fuzzy ANP, VIKOR Defuzzification-CFCS (T)/threshold value-experts/weights-fuzzy ANP
