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  4. Vol 6, Issue 1, 2022

Selection of Wind Turbines with Multi-Criteria Group Decision Making Approach in Linguistic Q-Rung Orthopair Fuzzy Environment

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DOI: 10.23977/acss.2022.060108 | Downloads: 43 | Views: 846

Author(s)

Siyang Zhao 1

Affiliation(s)

1 College of Economic and Management, North China Electric Power University, Beinong Street, Beijing, China

Corresponding Author

Siyang Zhao

ABSTRACT

Recently, wind power technology has been extensively applied in the world. Wind turbine is the fundamental equipment of the entire power generation system, and its selection involves many factors, such as technology, economy, environment and suppliers. The correlation of evaluation indexes and the uncertainty of decision-making environment further increases the complexity of selection. Based on it, this paper proposes a new multi-criteria group decision making (MCGDM) method based on weighted Lq-ROF Hamacher average (WLq-ROFHA) operator. Due to the flexibility and universality of linguistic q-rung orthopair fuzzy (Lq-ROF) set in expressing linguistic fuzzy information, Lq-ROF is chosen to express evaluation information. Firstly, the qualitative criterion from multiple angles is selected to build the wind turbine evaluation criteria system; secondly, considering the conflict and correlation between the criteria, we propose the Lq-ROF Hamacher average (Lq-ROFHA) operator and WLq-ROFHA operator, and study several properties of the proposed operators. The statistical variance (SV) method is used to determine the attribute weight to consider the hesitation degree of decision-makers' preference.

KEYWORDS

Linguistic q-rung orthopair fuzzy set, Wind turbine, Hamacher operator

CITE THIS PAPER

Siyang Zhao, Selection of Wind Turbines with Multi-Criteria Group Decision Making Approach in Linguistic Q-Rung Orthopair Fuzzy Environment. Advances in Computer, Signals and Systems (2022) Vol. 6: 52-66. DOI: http://dx.doi.org/10.23977/acss.2022.060108.

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