Data mining framework based on rough set theory to improve location selection decisions: A case study of a restaurant chain

Author:

Chen Li-Fei,Tsai Chih-Tsung

Funder

Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Strategy and Management,Tourism, Leisure and Hospitality Management,Transportation,Development

Reference48 articles.

1. Addressing the location of undesirable facilities through the dominance-based rough set approach;Abastante;Journal of Multi-Criteria Decision Analysis, Special Issue: Applying MCDA: Challenges and Case Studies,2014

2. Rough set exploration system, version 2.2, logic group, institute of mathematics;Bazan,2005

3. Retail location theory: evolution & evaluation;Brown;International Review of Retail Distribution & Consumer Research,1993

4. A multiple-criteria decision-making approach for the evaluation of retail location;Burnaz;Journal of multi-criteria decision analysis,2006

5. Predicting financial distress of Chinese listed companies using rough set theory and support vector machine;Cao;Asia-Pacific Journal of Operational Research,2011

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