Molecular fuzzy least squares optimization-based decision making with entropy expert weighting for transparent solar panel installation investments

Document Type : Research Paper

Authors

1 School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China

2 School of Digital Media Engineering and Humanities, Hunan University of Technology and Business, Changsha 410205, China

3 School of Business, Istanbul Medipol University, Istanbul, Turkey

4 Department of Economics and Management, Khazar University, Baku, Azerbaijan

5 Clinic of Economics, Azerbaijan State University of Economics (UNEC), Baku, Azerbaijan

6 DepartmenClinic of Economics, Azerbaijan State University of Economics (UNEC), Baku, Azerbaijant

7 IMU Vocational School, Istanbul Medipol University, Istanbul, Turkey

Abstract

The performance of transparent solar panel projects is affected by both technological and environmental and economic
factors. However, the most important items should be identified for the efficient use of limited resources and effective
risk management. There are few studies in the literature determining these factors. Because of this situation, businesses
cannot direct their resources correctly and cannot create an effective strategy. A molecular fuzzy decision-making system
is created to determine the most successful alternative investment policies for these projects to satisfy this gap in the
literature. Various techniques are integrated in this model to reach the most effective solutions, such as molecular
fuzzy sets to handle uncertainties, q-learning algorithm to weight experts, least square optimization (LSO) to calculate
criteria weights and multi-objective particle swarm optimization (MOPSO) to rank investment strategies. The main
contribution of this study is proposing an innovative molecular fuzzy decision-making model that manages uncertainties
more effectively to select the most appropriate investment strategies for transparent solar panel investments. Considering
molecular fuzzy sets allows for more accurate modelling of uncertainties and subjective evaluations. The results show
that the most critical investment criterion for transparent solar panel investments is the regional solar radiation level.

Keywords

References

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Iranian Journal of Fuzzy Systems
Volume 22, Issue 3
May and June 2025
Pages 55-86

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