A multicriteria and multiobjective approach for the market segmentation problem

被引：0
|
作者：
Gastelum-Chavira, Diego Alonso [1 ]
Leyva-Lopez, Juan Carlos [2 ]
Larreta-Ramirez, Elsa Veronica [1 ]
机构：
[1] Univ Autonoma Occidente, Management Sci Doctoral Program, Culiacan, Mexico
[2] Univ Autonoma Occidente, Econ & Management Sci Dept, Culiacan, Mexico
来源：
DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT | 2018年 / 11卷
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D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Within for-profit organizations, market segmentation plays an important role in marketing. Theoretically, individuals within market segments share similarity in some variables considered in a market study. In this paper, a market segmentation model is presented under a multicriteria outranking approach and modeled as a multiobjective optimization problem. This problem is addressed by using a multi-objective evolutionary algorithm and two empirical cases are presented as results.
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页码：1003 / 1009
页数：7
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