Multiple Experts-Based Decision Algorithm for the Analysis of Consumer Preferences in the Transformation of Creative Product Value

Consumer preferences play a significant role in transforming products. The manufacturer selects product designs, styles, colors, and layouts to attract consumers. However, it isn’t easy to analyze the customer’s preferences due to various factors. This article aims to develop an approach to examine consumer preferences when ranking products. This study analyzes the customer’s preferences by allowing them to express their opinions about the objects. The interval-valued Pythagorean fuzzy rough set (IVPYFRS) allows the consumers to give their views independently using the membership function. Integrating the rough and interval-valued Pythagorean fuzzy sets reduces uncertainty and ambiguity in modeling consumer preferences. Consequently, the approach developed in this study enhances the accuracy of analyzing consumer preferences regarding products. In this study, the interval-valued Pythagorean fuzzy rough Aczel-Alsina weighted geometric, interval-valued Pythagorean fuzzy rough Aczel-Alsina ordered weighted geometric, and interval-valued Pythagorean fuzzy rough Aczel-Alsina hybrid weighted geometric (IVPYFRAAHWG) operators are developed to tank some specific products are ranked by analyzing the consumer preferences based on some particular factors.