Article type: Research Article

Authors: Zhao, Mengweia; * | Wei, Guiwua | Wei, Cunb | Wu, Jiangb | Wei, Yuc

Affiliations: [a] School of Business, Sichuan Normal University, Chengdu, P.R. China | [b] School of Statistics, Southwestern University of Finance and Economics, Chengdu, P.R. China | [c] School of Finance, Yunnan University of Finance and Economics, Kunming, China

Correspondence: [*] Corresponding author. Mengwei Zhao, School of Business, Sichuan Normal University, Chengdu, 610101, P.R. China. E-mail: [email protected].

Abstract: The urban ecological risk assessment is a new research field, which has been rising and developing with the change of environment management objectives and environment conception. The urban ecological risk assessment could be regarded as a classical multi-attribute group decision making (MAGDM) issue. The interval-valued intuitionistic fuzzy set (IVIFS) can fully describe the uncertain information for the urban ecological risk assessment. Furthermore, the classical TODIM (an acronym in Portuguese for Interactive Multi-Criteria Decision Making) is built on cumulative prospect theory (CPT), which is a selectable method in reflecting the DMs’ psychological behavior. Thus, in this paper, the TODIM method based on the CPT is proposed for MAGDM issue under IVIFS. At the same time, it is enhancing rationality to get the weight information of attributes by using the interval-valued intuitionistic fuzzy entropy weight method. And focusing on hot issues in contemporary society, this article applies the discussed method to urban ecological risk assessment, and demonstrates urban ecological risk assessment model based on the proposed method. Finally, through comparing the outcome of comparative analysis, we conclude that this improved approach is acceptable.

Keywords: Multi-attribute group decision making (MAGDM), interval-valued intuitionistic fuzzy sets, TODIM, urban ecological risk assessment

DOI: 10.3233/JIFS-200534

Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 4091-4106, 2021