This article describes how the most widely used clustering, k-means, is prone to fall into a local optimum. Notably, traditional clustering approaches are directly performed on private data and fail to cope with malicious attacks in massive data mining tasks against attackers' arbitrary...

Purpose: The purpose of this paper is to analyze the relationship between market competition and distribution strategy for logistics service providers (LSPs), including freight price, service level (delivery speed), and service coverage. Design/methodology/approach: The authors consider two...

Purpose: This study aims to propose a new decision-making method by integrating case-based decision theory and the Dempster–Shafer theory of evidence. Design/methodology/approach: The study developed the entire computational procedures for the proposed method and used a numerical example to...

Purpose This study aims to analyze the tradeoff between two potential marketing strategies for service providers, namely, market segmentation on the basis of reservation lead time and cooperation with third parties. Design/methodology/approach This paper proposes an optimization model to...

In order to solve the poor performance problem of massive rules reasoning, as well as the inconsistency problem of working memory in distributed rule matching, this article presents the formal definition of interference relations between rules, and proposes a novel approach to distributed rule...