Abstract
AbstractThis paper introduces a new intuitionistic fuzzy hierarchical group decision-making (IFHGDM) model for the cross-docking location selection problem. The model is based on intuitionistic fuzzy modified group complex proportional assessment and group order preference by similarity to ideal solution, structuring in a multiple-level hierarchy. A new intuitionistic relative index is then proposed by representing closeness to the ideal points to evaluate and rank the most appropriate cross-dock among a set of potential alternatives for the management application in distribution systems.
Highlights
Cross-docking is introduced as a new logistics concept by hybridizing intermediate nodes into a distribution system
Proposed intuitionistic fuzzy hierarchical group decision-making (IFHGDM) model introduces a new intuitionistic fuzzy relative index based on the measure of closeness to the ideal solution, and avoids the difficulties and errors arising from the extension of classical complex proportional assessment (COPRAS) method in the intuitionistic fuzzy environment
This paper presents a new intuitionistic fuzzy hierarchical group decision-making (IFHGDM) model for the alternative' evaluating and ranking of the cross-docking center location in the complex logistics decision-making and/or selection problems for the distribution systems
Summary
Cross-docking is introduced as a new logistics concept by hybridizing intermediate nodes into a distribution system. The selection can be conducted through the group decision-making (GDM) process along with the modern fuzzy sets theory that is affected by the degree of expertise and knowledge of such individual logistics experts or DMs. An effective method for aggregating the various influences of individual judgment, evaluation, and performance rating from several logistics DMs must be considered in the crossdocking location selection problem involving the imprecision/vagueness inherent in linguistic assessments. The proposed model is based on modified complex proportional assessment (COPRAS) and order preference by similarity to ideal solution (TOPSIS) methods, which are introduced by a group of logistics experts or DMs to tackle cross-docking location decision-making and/or selection problems based on the IFS-theory. It is an effective evaluation approach that tries to rank each alternative described in terms of a number of criteria, their significance and utility degree This method selects the best decision by considering both the positive and negative ideal solutions. The best alternative is the candidate with the greatest relative closeness to the ideal solution
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