Evaluation and research on the logistics efficiency of agricultural products with intuitionistic fuzzy information

Article type: Research Article

Authors: Liu, Qing

Affiliations: Admissions and System Construction Division, The Open University of Yunnan, Kunming, Yunnan 650223, China | E-mail: [email protected]

Abstract: With respect to intuitionistic fuzzy multiple attribute decision making problems with completely unknown weight information, some operational laws of intuitionistic fuzzy numbers, score function and accuracy function of intuitionistic fuzzy numbers are introduced. To determine the attribute weights, a model based on the information entropy, by which the attribute weights can be determined, is established. We utilize the intuitionistic fuzzy Hamacher weighted averaging (IFHWA) operator to fuse the intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example for evaluating the logistics efficiency of agricultural products is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Keywords: Multiple attribute decision making, intuitionistic fuzzy number, intuitionistic fuzzy Hamacher weighted averaging (IFHWA) operator, entropy, logistics efficiency, agricultural products

DOI: 10.3233/KES-220006

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 26, no. 1, pp. 47-52, 2022