Title: Sustainable performance evaluation: a practical approach based on fuzzy best-worst method and fuzzy inference system
Authors: Abdolreza Azadmanesh; Mohammad Reza Maleki
Addresses: Department of Industrial Engineering, University of Eyvanekey, Semnan, Iran ' Department of Industrial Engineering, Golpayegan University of Technology, Golpayegan, Iran
Abstract: Taking into account sustainability perspective, this paper proposes a practical integrated approach based on fuzzy best-worst method (BWM) and fuzzy inference system (FIS) for performance evaluation. In the proposed approach, the criteria are determined based on three aspects, namely economic, social, and environmental ones; and the corresponding weights are calculated using fuzzy BWM. Moreover, the performance of the company under study is evaluated for each of the sustainability aspects. Finally, an FIS is developed based on the knowledge of experts and the final score of the intended company is accordingly calculated. A real-world example using the knowledge of eight experts of Parsian Gas Refinery Company in Iran indicates the efficiency and effectiveness of the proposed approach.
Keywords: sustainable performance evaluation; best-worst method; fuzzy inference system; FIS; fuzzy theory; sustainability.
International Journal of Applied Decision Sciences, 2022 Vol.15 No.2, pp.201 - 220
Received: 07 Oct 2020
Accepted: 31 Oct 2020
Published online: 11 Mar 2022 *