An improved MULTIMOORA method for multi-valued neutrosophic multi-criteria group decision-making based on prospect theory

Document Type : Article

Authors

1 a- School of Business, Central South University, Changsha 410083, PR China.

2 - College of Tourism, Hunan Normal University, Changsha 410081, PR China. - College of Logistics and Transportation, Central South University of Forestry and Technology, Changsha 410004, PR China.

Abstract

With the development of the economy and society, the scale of cities is increasing. At the same time, there are many subways being constructed in many cities. In the construction of subways, an appropriate scheme plays an important role in reducing cost and improving the satisfaction of the public. This paper attaches great importance to present a multi-criteria group decision-making (MCGDM) method to deal with selecting an appropriate construction scheme for subways. The process of selecting an appropriate construction scheme for subways is complex because it includes a great deal of fuzzy and uncertain information which can be presented by multi-valued neutrosophic numbers (MVNNs). In addition, in order to handle the interaction of inputs, an improved generalized multi-valued neutrosophic weighted Heronian mean (IGMVNWHM) operator is introduced. Subsequently, a new distance measure between two MVNNs is defined for deriving the objective criteria weights. Furthermore, considering the bounded rationality of decision-makers, we develop an improved multi-valued neutrosophic MULTIMOORA method based on prospect theory (IMVN-PT-MULTIMOORA). Finally, an application example of selecting an appropriate construction scheme for a subway and the influence of parameter are described. In addition, the proposed approach is compared with some existing methods to prove its validity and advantages.

Keywords


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Volume 30, Issue 5
Transactions on Industrial Engineering (E)
September and October 2023
Pages 1822-1840
  • Receive Date: 31 May 2020
  • Revise Date: 07 May 2021
  • Accept Date: 05 July 2021