An Agent-Based System for the Design of New Products Using a Fuzzy Multicriteria Approach

被引:0
作者
J. Francisco Figueroa-Perez
Juan C. Leyva-Lopez
Edgar O. Pérez-Contreras
Pedro J. Sánchez
Alan D. Ramirez-Noriega
机构
[1] Universidad Autónoma de Occidente,
[2] Universidad Autónoma de Sinaloa,undefined
[3] Fuente de Poseidón y Ángel Flores s/n,undefined
[4] Universidad de Jaén,undefined
来源
International Journal of Fuzzy Systems | 2020年 / 22卷
关键词
Marketing; Decision support systems; Agent technology; New product design; Multiobjective evolutionary algorithms; Multicriteria decision analysis;
D O I
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中图分类号
学科分类号
摘要
The intense competition of global markets stimulates a significant change in the way products are designed, manufactured, and delivered. Such a situation is forcing companies to consider the use of new tools to support this decision process. This paper describes an agent-based system implementing a novel consumer-based fuzzy multicriteria methodology to support the design of new products. It argues that a combination of marketing decision support systems, multicriteria and multiobjective methodologies, fuzzy models, and agent technologies could be a valuable tool to assist marketing managers in new product design applications. In the multi-agent system architecture, software agents were classified into types and organized in teams. The first includes interface, task, and information agents. The second reflects Simon’s decision-making process, including intelligence, design, and choice teams. The communication between agents is carried out using an ontology. An example of system operation attempting to get the design of new corn oil is presented using sequence diagrams.
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页码:2691 / 2707
页数:16
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