Your browser doesn't support javascript.
An extended TODIM approach for group emergency decision making based on bidirectional projection with hesitant triangular fuzzy sets.
Ding, Quanyu; Wang, Ying-Ming; Goh, Mark.
  • Ding Q; Decision Sciences Institute, Fuzhou University, Fuzhou, Fujian 350116, PR China.
  • Wang YM; Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, Fujian 350116, PR China.
  • Goh M; NUS Business School & The Logistics Institute-Asia Pacific, National University of Singapore, Singapore.
Comput Ind Eng ; 151: 106959, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-938831
ABSTRACT
With the recent Covid-19 outbreak, group emergency decision-making (GEDM), as a new management model to pursue both social stability and decrease the negative impact of emergencies, has become highly popular. Evaluating and choosing the best emergency response is the core of the GEDM and selecting the choices can be regarded as a multi-attribute group decision-making (MAGDM) problem. Due to the increasing complexity and fuzziness of emergency decision-making environment, decision-makers (DMs) often cannot express completely rational preference information in many real EDM situations. At the same time, the existing methods seldom consider the DM's psychological mindset at the point of decision making. In this paper, an extended TODIM (an acronym for interactive and multi-criteria decision-making in Portugese) method based on bidirectional projection is proposed to solve the GEDM problem in the context of hesitant triangular fuzzy sets (HTFSs) and the novel method is applied to a case study and compared with other existing methods. The validity and applicability of the proposed method are discussed.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Comput Ind Eng Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Comput Ind Eng Year: 2021 Document Type: Article