Toward a ranking strategy for e-commerce products in an e-alliance portal using Primitive Cognitive Network Process

摘要

E-alliance is the platform of promoting e-commerce products. An efficient approach to evaluate and rank the suitable e-commerce products is essential for the business value of an e-alliance portal, where the business partners or consumers efficiently search the best fit e-commerce products for their transaction in internet. This paper proposes the Primitive Cognitive Network Process for the ranking strategy considering multiple criteria and alternatives.