Predictive performance measurement system for retail industry using neuro-fuzzy system based on swarm intelligence

Author:

Holimchayachotikul Pongsak,Leksakul Komgrit

Funder

Thailand Research Fund

Excellence Center in Logistics and Supply Chain Management, Chiang Mai University

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference52 articles.

1. Almejalli K, Dahal K, Hossain MA (2008) Real time identification of road traffic control measures. Advances in computational intelligence in transport, logistics, and supply chain management, vol 144. Springer, Berlin

2. Asiltürk I et al (2012) An intelligent system approach for surface roughness and vibrations prediction in cylindrical grinding. Int J Comput Integr Manuf 25:750–759

3. Bonabeau E, Meyer C (2001) Swarm intelligence. A whole new way to think about business. Harv Bus Rev 79:106–114, 165

4. Castellano G, Castiello C, Fanelli AM, Mencar C (2005) Knowledge discovery by a neuro-fuzzy modeling framework. Fuzzy Sets Syst 149:187–207

5. Cheng JH, Chen SS, Chuang YW (2008) An application of fuzzy delphi and Fuzzy AHP for multi-criteria evaluation model of fourth party logistics. WSEAS Trans Syst 7:466–478

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