Volume 9, Issue 4, August 2016, Pages 676 - 688
An FMCDM approach to purchasing decision-making based on cloud model and prospect theory in e-commerce
Authors
Hong-yu Zhanghyzhang@csu.edu.cn
School of Business, Central South University, Changsha 410083, China
Rui Zhouzrconan@163.com
School of Business, Central South University, Changsha 410083, China
Jian-qiang Wang*, jqwang@csu.edu.cn
School of Business, Central South University, Changsha 410083, China
Xiao-hong Chencsums_2005@163.com
School of Business, Central South University, Changsha 410083, China
*Corresponding author. Tel.: +86 731 88830594; fax: +86 731 88710006. E-mail address: jqwang@csu.edu.cn.
Corresponding Author
Jian-qiang Wangjqwang@csu.edu.cn
Received 13 October 2015, Accepted 27 March 2016, Available Online 1 August 2016.
- DOI
- 10.1080/18756891.2016.1204116How to use a DOI?
- Keywords
- Purchasing decision-making; cloud model; prospect theory; reference point
- Abstract
This paper presents a fuzzy multi-criteria decision-making (FMCDM) approach based on cloud model and prospect theory. In addition, a reference point selection method is developed according to the evaluations of the potential customer or similar consumers regarding certain items. An example of purchasing decision problems is provided in order to illustrate the applicability of the proposed approach. A comparative analysis of the proposed approach is also performed in order to verify its feasibility.
- Copyright
- © 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Hong-yu Zhang AU - Rui Zhou AU - Jian-qiang Wang AU - Xiao-hong Chen PY - 2016 DA - 2016/08/01 TI - An FMCDM approach to purchasing decision-making based on cloud model and prospect theory in e-commerce JO - International Journal of Computational Intelligence Systems SP - 676 EP - 688 VL - 9 IS - 4 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2016.1204116 DO - 10.1080/18756891.2016.1204116 ID - Zhang2016 ER -