Supply Chain Management Under Fuzziness presents recently developed fuzzy models and techniques for supply chain management. These include: fuzzy PROMETHEE, fuzzy AHP, fuzzy ANP, fuzzy VIKOR, fuzzy DEMATEL, fuzzy clustering, fuzzy linear programming, and fuzzy inference systems. The book covers both practical applications and new developments concerning these methods. This book offers an excellent resource for researchers and practitioners in supply chain management and logistics, and will provide them with new suggestions and directions for future research. Moreover, it will support graduate students in their university courses, such as specialized courses on supply chains and logistics, as well as related courses in the fields of industrial engineering, engineering management and business administration.Prentice Hall, New Jersey (1997) Jilani, T.A., Burney, S.M.A.: A refined fuzzy time series model for stock market ... (2008) Khashei, M., Hejazi, R.S., Bijari, M.: A new hybrid artificial neural networks and fuzzy regression model for time series ... Energy Policy 37(4), 1239a1248 (2009) Matlab: Fuzzy logic toolbox usera#39;s guide.
|Title||:||Supply Chain Management Under Fuzziness|
|Author||:||Cengiz Kahraman, Başar Öztayşi|
|Publisher||:||Springer - 2014-02-15|