By D. Dubois, H. Prade, L. Ughetto (auth.), Nikhil R. Pal, Michio Sugeno (eds.)
It is our nice excitement to welcome you all to the 2002 AFSS overseas convention on Fuzzy structures (AFSS 2002) to be held in Calcutta, the good urban of pleasure. AFSS 2002 is the ?fth convention within the sequence initiated by way of the Asian Fuzzy structures Society (AFSS). AFSS 2002 is together being geared up by way of theIndianStatisticalInstitute(ISI)andJadavpurUniversity(JU). Likeprevious conferencesinthisseries,wearesure,AFSS2002willprovideaforumforfruitful interplay and trade of principles among the contributors from all around the globe. the current convention covers all significant features of sentimental computing comparable to fuzzy good judgment, neural networks, genetic algorithms together with either theories and functions. Wehopethismeetingwillbeenjoyableacademicallyandotherwise. we're grateful to the contributors of the overseas software Committee and the realm Chairs for extending their aid in numerous kinds to make a powerful technical software. every one submitted paper used to be reviewed via at the least 3 referees, and occasionally the revised models have been back checked by way of the ref- ees. because of this difficult screening method lets pick out in simple terms approximately 50% of the submitted papers. We back convey our honest because of all referees for doing a superb task. we're satisfied to notice that 19 di?erent international locations from all around the globe are represented by way of the authors, thereby making it a really inter- tional convention. we're proud to have an inventory of extraordinary audio system together with Profs. Z. Pawlak, J. Bezdek, D. Dubois, and T. Yamakawa.
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Additional resources for Advances in Soft Computing — AFSS 2002: 2002 AFSS International Conference on Fuzzy Systems Calcutta, India, February 3–6, 2002 Proceedings
Fuzzy Sets and Fuzzy Logic: Theory and Applications,(Prentice Hall, New Jersey, 1995). 9. , ‘Fuzziness vs. Probability’, Int. J. of General Systems, Vol. 17, (1990), pp. 211-240. 10. 331-336 11. , ‘Features of Similarity’, Psychological Rev. 84(4), (1977), pp. 327-353. 12. , ‘Proximity Relations in The Fuzzy Relational Database Model’, Fuzzy Sets and Systems, 31, (1989), pp. 285-296 13. , ‘Ordinal Measures of Speciﬁcity’, Int. J. 17, (1990), pp. 57-72. 14. , ‘Similarity Relations and Fuzzy Orderings ’, Inform.
Here weak fuzzy similarity relation is regarded as a generalization of fuzzy similarity relation and fuzzy conditional probability relation can be considered as a concrete example of weak fuzzy similarity relation. In this paper, based on fuzzy conditional probability relation, we examine and discuss similarity of fuzzy sets as results of fuzzy partition over a particular domain of data. A kind of fuzzy partition, called fuzzy pseudopartition or fuzzy c-partition where c designates the number of fuzzy classes in the partition, was introduced in [1,8].
Here, the uncertainty associated with a typical individual sanctioned by default is represented by means of a composite vague certainty qualiﬁed statement. The vague certainty value assigned to a statement is based on only the consistency of the consequence of a default rule. Inferences are drawn using similarity based approximate reasoning. 1 Introduction Many assertions about the real world express default properties of individuals or class of individuals. As for example, ‘hard-workers are adults’, ‘intelligents prosper’, ‘teenagers are unmarried’, ‘snakes are highly-poisonous’, ‘birds ﬂy faster than bees’, ‘Pathans are well-built’ express default properties.