| Heterogeneous bipolar criteria satisfaction handling in geographical decision support systems: an LSP based approach |
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Symposium on Applied Computing
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Proceedings of the 2009 ACM symposium on Applied Computing
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Honolulu, Hawaii
SESSION: Information access and retrieval track
table of contents
Pages 1704-1708
Year of Publication: 2009
ISBN:978-1-60558-166-8
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Authors
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Guy De Tré
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Ghent University, Ghent, Belgium
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Jozo J. Dujmović
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San Francisco State University, San Francisco, CA
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Nico Van de Weghe
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Ghent University, Ghent, Belgium
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Tom Matthé
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Ghent University, Ghent, Belgium
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Niels Charlier
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Ghent University, Ghent, Belgium
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ABSTRACT
In decision making, it is sometimes more appropriate to express what has to be rejected rather than what is permitted. Moreover, permitted and rejected cases do not necessarily have to mirror each other, which is called heterogeneous bipolarity. To efficiently deal with heterogeneous bipolarity in decision making, a new bipolar criteria satisfaction modelling framework is proposed in this paper. This framework is based on independent degrees of satisfaction and dissatisfaction. Its use and advantages are illustrated within the context of suitability maps for geographical decision making. A suitability map reflects the overall suitability of a specific area for a selected type of use. In a general case, the suitability of a location depends on a variety of criteria that are specified using reasoning techniques that are typical for soft computing. These criteria are evaluated and their resulting satisfaction and/or dissatisfaction degrees are aggregated using graded logic functions within the framework of the LSP method.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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D. Dubois, S. Kaci, and H. Prade. Bipolarity in reasoning and decision - an introduction. The case of the possibility theory framework. In Proc. of the IPMU Conference, pages 959--966, Perugia, Italy, 2004.
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3
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D. Dubois and H. Prade. Rough Sets and Current Trends in Computing, volume 4259 of Lecture Notes in Computer Science, chapter Bipolar Representations in Reasoning, Knowledge Extraction and Decision Processes, pages 15--26. Springer, Heidelberg, Germany, 2006.
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4
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D. Dubois and H. Prade. Handbook of Research on Fuzzy Information Processing in Databases, chapter Handling bipolar queries in Fuzzy Information Processing, pages 97--114. Information Science Reference, New York, USA, 2008.
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5
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J. Dujmović. Preference logic for system evaluation. IEEE Trans. on Fuzzy Systems, 15(6):1082--1099, 2007.
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6
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J. Dujmović. Characteristic forms of generalized conjunction/disjunction. In Proc. of the IEEE World Congress on Computational Intelligence, Hong Kong, 2008.
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7
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|
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8
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|
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9
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V. Tahani. A conceptual framework for fuzzy query processing: a step toward very intelligent database systems. Information Processing and Management, 13:289--303, 1977.
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10
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L. Zadeh. Fuzzy sets. Information and Control, 8(3):338--353, 1965.
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11
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