Abstract
This paper proposes an intelligent decision support framework for an effective e-service management. The proposed framework integrates case and rule based reasonings and multi criteria decision-making techniques in fuzzy environment for a real-time decision-making, which is dealing with uncertain and imprecise decision situations. The framework potentially leads to more accurate, flexible and efficient retrieval of alternatives that are most similar and most useful to the current decision situation.
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Chidambaram, L.: The editor’s column: Why e-Service Journal. e-Service Journal 1(1), 1–3 (2001)
Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications 7(1), 39–59 (1994)
Chan, F.T.S.: Application of a hybrid case-based reasoning approach in electroplating industry. Expert Systems with Applications 29, 121–130 (2005)
Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)
Pal, S.K., Dillon, T.S., Yeung, D.S. (eds.): Soft Computing in Case-Based Reasoning. Springer, London (2000)
Changchien, S.W., Lin, M.-C.: Design and implementation of a case-based reasoning system for marketing plans. Expert Systems with Applications 28, 43–53 (2005)
Triantaphyllou, E.: Multi-criteria decision making methods: A comparative study. Kluwer Academic Publishers, London (2000)
Chang, D.-Y.: Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research 95(3), 649–655 (1996)
Zhu, K.-J., Jing, Y., Chang, D.-Y.: A discussion on extent analysis method and applications of fuzzy AHP. European Journal of Operational Research 116(2), 450–456 (1999)
Fortemps, P., Roubens, M.: Ranking and defuzzification methods based on area compensation. Fuzzy Sets and Systems 82, 319–330 (1996)
Wang, X., Kerre, E.E.: Reasonable properties for the ordering of fuzzy quantities (I). Fuzzy Sets and Systems 118, 375–385 (2001)
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© 2005 Springer-Verlag Berlin Heidelberg
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Büyüközkan, G., Ersoy, M.Ş., Işıklar, G. (2005). An Intelligent Decision Making System to Support E-Service Management. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_160
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DOI: https://doi.org/10.1007/11589990_160
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30462-3
Online ISBN: 978-3-540-31652-7
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