Work

Some Hesitant Fuzzy Information Aggregation Operators Based on Einstein Operational Laws

Year: 2014

Type: article

Abstract: The performance and development review (PADR) evaluation in a company is a complex group decision-making problem that is influenced by multiple and conflicting objectives. The complexity of the PADR evaluation problem is often due to the difficulties in determining the degrees of an alternative that satisfies the criteria. In this paper, we present a hesitant fuzzy multiple criteria group decision-making methods for PADR evaluation. We first develop some operations based on Einstein operations. Then, we proposed some aggregation operators to aggregate hesitant fuzzy elements and the relationship between our proposed operators and the existing ones are discussed in detail. Furthermore, the procedure of multicriteria group decision making based on the proposed operators is given under hesitant fuzzy environment. Finally, a practical example about PADR evaluation in a company is provided to illustrate the developed method.

Source: International Journal of Intelligent Systems

DOI: 10.1002/int.21636

Author: Dejian Yu

Institution: Zhejiang University of Finance and Economics

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province

Awards: 基于乘性直觉模糊信息的群决策方法及其应用研究, G2878932210