A neuro-IFS intelligent system for marketing strategy selection

Communications in Computer and Information Science

Volumn 241 CCIS, Issue , 2011, Pages 61-70

  Khatibi, Vahid ^a   Iranmanesh, Hossein ^a   Keramati, Abbas ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Business Intelligence; Fuzzy Inference System; Intuitionistic Fuzzy Sets; Marketing Strategy; Radial Basis Function Neural Network

Indexed keywords

ACCURACY RATE; DATA MINING TECHNIQUES; FUZZY INFERENCE SYSTEM; INFERENCE SYSTEMS; INTUITIONISTIC FUZZY SETS; MARKETING STRATEGY; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK;

COMPETITIVE INTELLIGENCE; DATA MINING; FUZZY INFERENCE; FUZZY SETS; INNOVATION; INTELLIGENT SYSTEMS; MARKETING; MEMBERSHIP FUNCTIONS; NETWORK LAYERS; RADIAL BASIS FUNCTION NETWORKS; STRATEGIC PLANNING;

NEURAL NETWORKS;

EID: 83755171302     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-27337-7_7     Document Type: Conference Paper

References (26)

1. Mikroyannidis, A., Theodoulidis, B.: Ontology management and evolution for business intelligence. International Journal of Information Management 30, 559-566 (2010)
2. Karakostas, B., Kardaras, D., Papathanassiou, E.: The state of CRM adoption by the financial services in the UK: An empirical investigation. Information & Management 42, 853-863 (2005)
3. Heinrich, B.: Transforming strategic goals of CRM into process goals and activities. Business Process Management Journal 11(6), 709-723 (2005)
4. Keramati, A., Mehrabi, H., Mojir, N.: A process-oriented perspective on customer relationship management and organizational performance: An empirical investigation. Industrial Marketing Management 39, 1170-1185 (2010)
5. Wang, H.-F.: A fuzzy approach to scenario analysis in strategic planning. In: IEEE International Fuzzy Systems Conference (1999)
6. Alessandri, T.M.D., et al.: Managing risk and uncertainty in complex capital projects. The Quarterly Review of Economics and Finance 44, 751-767 (2004)
7. Zadeh, L.A.: Fuzzy Sets. Information Control 8, 338-353 (1965)
8. Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets and Systems 20(1), 87-96 (1986)
9. Vlachos, I., Sergiadis, G.D.: Intuitionistic fuzzy information: Applications to pattern recognition. Pattern Recognition Letters 28, 197-206 (2007)
10. Zadeh, L.A.: Fuzzy Logic, neural networks, and soft computing. Communications of ACM 37, 77-84 (1994)
11. Kennedy, M.P., Chua, L.O.: Neural networks for nonlinear programming. IEEE Transactions on Circuits and Systems 35(3), 554-562 (1988)
12. Broomhead, D.S., Lowe, D.: Multivariable functional interpolation and adaptive networks. Complex Systems 2, 321-355 (1988)
13. Cho, K.B., Wang, B.H.: Radial basis function based adaptive fuzzy systems and their applications to system identification and prediction. Fuzzy Sets and Systems 83, 325-339 (1996)
14. Kosko, B.: Fuzzy associative memories. In: Kandel, A. (ed.) Fuzzy Expert Systems (1987)
15. Wang, W., Xin, X.: Distance measure between intuitionistic fuzzy sets. Pattern Recognition Letters 26, 2063-2069 (2005)
16. Li, Y., Olson, D.L., Qin, Z.: Similarity measures between intuitionistic fuzzy (vague) sets: A comparative analysis. Pattern Recognition Letters 28, 278-285 (2007)
17. Dengfeng, L., Chantian, C.: New similarity measures of intuitionistic fuzzy sets and applications to pattern recognitions. Pattern Recognition Letters 23, 221-225 (2002)
18. Liang, Z., Shi, P.: Similarity measures on intuitionistic fuzzy sets. Pattern Recognition Letters 24, 2687-2693 (2003)
19. Mitchell, H.B.: On the Dengfeng-Chuitian similarity measure and its application to pattern recognition. Pattern Recognition Letters 24, 3101-3104 (2003)
20. Szmidt, E., Kacprzyk, J.: Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems 114, 505-518 (2000)
21. Hung, W.-L., Yang, M.-S.: Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance. Pattern Recognition Letters 25, 1603-1611 (2004)
22. Vlachos, I.K., Sergiadis, G.D.: Intuitionistic fuzzy information: Applications to pattern recognition. Pattern Recognition Letters 28, 197-206 (2007)
23. Szmidt, E., Kacprzyk, J.: Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems 114(3), 505-518 (2000)
24. Aminian, A.: Prediction of temperature elevation for seawater in multi-stage flash. Chemical Engineering Journal 162, 552-556 (2010)
25. Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press Inc., New York (1995)
26. Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice-Hall, Upper Saddle River (1999)