Back close

Behaviour Analysis of Amazon customer using novel POS-NEG composition-based Pythagorean fuzzy logic

Publication Type : Journal Article

Publisher : Journal of Public Affairs

Source : Journal of Public Affairs

Campus : Kochi

School : School of Business

Department : Department of Management

Verified : Yes

Year : 2022

Abstract : Uncertainty and vagueness are the important factors in any decision-making process. Different tools and approaches had been introduced to handle the uncertainty and vagueness environment of behaviour analysis. One of the latest tools in dealing with uncertainty and vagueness is Pythagorean fuzzy sets which are the generalized form of intuitionistic fuzzy set. In this paper, we explore the concept of Pythagorean fuzzy sets and introduce POS–NEG composition to determine the behaviour of customers in Amazon E-commerce website. The role of this enhanced composition is to gather the sentiment of customers about the Amazon products. Our proposed work handles multi-attribute, reduces complexity of the analysis and it is compared and proved to be accurate than fuzzy set and intuitionistic fuzzy set. The main feature of Pythagorean fuzzy sets is its relatively novel mathematical framework in the fuzzy family with higher ability to cope imprecision imbedded in decision-making.

Admissions Apply Now