Highlights We present a new evaluation system for the location selection of a CLC. A FMAGDM method based on linguistic 2-tuple is proposed. A new THOWA operator is presented. Our method can effectively avoid the loss and distortion of information. Our method may well weaken the adverse effects of emotional factors.
Abstract City Logistics Centers (CLC) are an important part of the modern urban logistics system, and the selection of the location of a CLC has become a key problem in logistics and supply chain management. Integrating the economic, environmental, and social dimensions of sustainable development, this paper presents a new evaluation system for the location selection of a CLC from a sustainability perspective. A fuzzy multi-attribute group decision making (FMAGDM) technique based on a linguistic 2-tuple is used to evaluate potential alternative CLC locations. In this method, the linguistic evaluation values of all the evaluation criteria are transformed into linguistic 2-tuples. A new 2-tuple hybrid ordered weighted averaging (THOWA) operator is presented to aggregate the overall evaluation values of all experts into a collective evaluation value for each alternative, which is then used to rank and select alternative CLC locations. An application example is provided to validate the method developed and to highlight the implementation, practicality, and effectiveness by comparing with the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method.
Location selection of city logistics centers under sustainability
2015-01-01
16 pages
Article (Journal)
Electronic Resource
English
Location selection of city logistics centers under sustainability
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