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author:

Wang, Liang (Wang, Liang.) [1] (Scholars:王亮) | Lai, Jia Yan (Lai, Jia Yan.) [2] | Zhang, Zi-Xin (Zhang, Zi-Xin.) [3]

Indexed by:

EI

Abstract:

Sorting problems widely exist in real-world situation, in which alternatives (actions) are assigned to specific classes that are defined by decision maker according to his/her preference and given problem. Therefore, decision maker's preferences play a critical role in sorting problems, while, different prefer-ences are usually determined by decision maker's psychological behavior. Thus, it seems necessary to consider decision maker's psychological behavior in sorting problem. Additionally, dynamic evolution is one of typical features of real-world problems, the given problems are usually updating and changing along with the time changes or problem environment, therefore, such a dynamic feature should be considered in sorting problems. However, seldom extant multi-criteria decision sorting studies combine decision maker's psychological behavior with dynamic feature of sorting problems. This contribution fills upsuch a gap, and proposes a dynamic multi-criteria decision sorting method that considers decision maker's psychological behavior during the sorting process. An illustrative example about modern renewable energy consumption is employed to demonstrate validity and feasibility of the proposed method. © 2023 IEEE.

Keyword:

Behavioral research Decision making Energy utilization

Community:

  • [ 1 ] [Wang, Liang]Decision Sciences Institute, Fuzhou University, Fuzhou, China
  • [ 2 ] [Lai, Jia Yan]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 3 ] [Zhang, Zi-Xin]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 4 ] [Zhang, Zi-Xin]University of Jaen, Dept. of Computer Science, Jaen, Spain

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Year: 2023

Page: 506-513

Language: English

Cited Count:

WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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