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A fuzzy matching model with Hurwicz criteria for one-shot multi-attribute exchanges in E-brokerage

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Abstract

The trade determination problem is an important decision problem for multi-attribute exchanges in E-brokerages. As of now, some studies have focused on this issue. However, theories and guidelines for the trade determination problem under fuzzy environments are still sparse. In this paper, taking into account the fuzzy information involved in one-shot multi-attribute exchanges, a new fuzzy matching model is proposed for the trade determination problem. In the model, we present a novel calculation method of the matching degree based on the improved fuzzy information axiom as a baseline study. Also, the credibility measure and Hurwicz criterion are introduced to convert the model into a crisp one. Since the crisp model is a 0–1 integer programming problem, the commonly used branch and bound algorithm and related optimization techniques become applicable. Finally, an example is employed to illustrate the application and sensitivity analysis of the proposed model.

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Acknowledgments

This work was partly supported by the National Natural Science Foundation of China (Project Nos. 71371190, 70801012, 71001019, 71271051, and 71271217), the Funds for Creative Research Groups of China (No. 71221061), the projects of Major International Cooperation NSFC (No. 71210003), and the Fundamental Research Funds for the Central Universities (Project No. N 130506001).

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Authors and Affiliations

  1. Department of Information Management and Decision Sciences, School of Business Administration, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China

    Zhong-Zhong Jiang & Zhi-Ping Fan

  2. College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China

    Ruiyou Zhang

  3. School of Business, Central South University, Changsha, 410083, China

    Xiaohong Chen

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  1. Zhong-Zhong Jiang
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  2. Ruiyou Zhang
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  3. Zhi-Ping Fan
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  4. Xiaohong Chen
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Correspondence to Zhong-Zhong Jiang.

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Jiang, ZZ., Zhang, R., Fan, ZP. et al. A fuzzy matching model with Hurwicz criteria for one-shot multi-attribute exchanges in E-brokerage. Fuzzy Optim Decis Making 14, 77–96 (2015). https://doi.org/10.1007/s10700-014-9189-x

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