On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
The interdisciplinary study of coordination
ACM Computing Surveys (CSUR)
Computers and Operations Research
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Chain or Shackles: Understanding What Drives Supply-Chain Performance
Interfaces - supply-chain management
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
The Effect of Collaborative Forecasting on Supply Chain Performance
Management Science
Consensus-based intelligent group decision-making model for the selection of advanced technology
Decision Support Systems
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Expert Systems with Applications: An International Journal
Fuzzy multi-criteria evaluation of industrial robotic systems
Computers and Industrial Engineering
Supply chain coordination: A game-theory approach
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
Information Sciences: an International Journal
Fuzzy hierarchical TOPSIS for supplier selection
Applied Soft Computing
Expert Systems with Applications: An International Journal
An integrated multi-objective decision-making process for supplier selection with bundling problem
Expert Systems with Applications: An International Journal
Developing a fuzzy TOPSIS approach based on subjective weights and objective weights
Expert Systems with Applications: An International Journal
A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard
Expert Systems with Applications: An International Journal
An interval arithmetic based fuzzy TOPSIS model
Expert Systems with Applications: An International Journal
Distributed search for supply chain coordination
Computers in Industry
The evaluation of cluster policy by fuzzy MCDM: Empirical evidence from HsinChu Science Park
Expert Systems with Applications: An International Journal
IEEE Transactions on Fuzzy Systems
A combined fuzzy MCDM approach for selecting shopping center site: An example from Istanbul, Turkey
Expert Systems with Applications: An International Journal
Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method
Expert Systems with Applications: An International Journal
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Soft Computing in Decision Modeling; Guest Editors: Vicenc Torra, Yasuo Narukawa
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Group consensus algorithms based on preference relations
Information Sciences: an International Journal
A new fuzzy MCDM approach based on centroid of fuzzy numbers
Expert Systems with Applications: An International Journal
Structured methodology for supplier selection and evaluation in a supply chain
Information Sciences: an International Journal
A fuzzy multi-criteria decision making model for the selection of the distribution center
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
Mathematical and Computer Modelling: An International Journal
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In a supply chain (SC), the partners often make collective decisions to solve a number of problems which are characterized by various quantitative and qualitative criteria. This article presents a fuzzy TOPSIS and soft consensus based group decision making methodology to solve the multi-criteria decision making (MCDM) problems in supply chain coordination, i.e., selection problems. This methodology is proposed to improve the coordination in decentralized supply chains, i.e., supply chains that comprise several independent, legally separated entities with their own decision authorities. In order to address the imprecision of supply chain partners in formulating the preference value of various criteria, a fuzzy TOPSIS based methodology is proposed. Moreover, a soft consensus based group decision making approach is used for consensus forming among the supply chain partners, regarding the preference values of various criteria for different alternatives. Correlation coefficient and standard deviation (CCSD) based objective weight determination method is also used for enumeration of the weights of the criterion for fuzzy TOPSIS. To demonstrate the applicability of proposed methodology, an illustrative example has been presented.