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 foreign 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 means of the Asian Fuzzy platforms Society (AFSS). AFSS 2002 is together being equipped through theIndianStatisticalInstitute(ISI)andJadavpurUniversity(JU). Likeprevious conferencesinthisseries,wearesure,AFSS2002willprovideaforumforfruitful interplay and trade of rules among the individuals from all around the globe. the current convention covers all significant points of soppy computing akin to fuzzy good judgment, neural networks, genetic algorithms together with either theories and functions. Wehopethismeetingwillbeenjoyableacademicallyandotherwise. we're grateful to the contributors of the foreign application Committee and the world Chairs for extending their aid in numerous kinds to make a powerful technical application. every one submitted paper was once reviewed through no less than 3 referees, and in certain cases the revised types have been back checked by means of the ref- ees. due to this difficult screening strategy lets decide upon in basic terms approximately 50% of the submitted papers. We back exhibit our honest because of all referees for doing a very good activity. we're chuffed to notice that 19 di?erent international locations from everywhere in the globe are represented through the authors, thereby making it a very inter- tional convention. we're proud to have an inventory of unusual 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
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. 3(2), (1970), pp. 177-200. Fuzzy Set in Default Reasoning Swapan Raha and Sanaul Hossain Dept. of Mathematics, Visva-Bharati, Santiniketan 731235, India Abstract.
14. , ‘Similarity Relations and Fuzzy Orderings ’, Inform. 3(2), (1970), pp. 177-200. Fuzzy Set in Default Reasoning Swapan Raha and Sanaul Hossain Dept. of Mathematics, Visva-Bharati, Santiniketan 731235, India Abstract. The purpose of this report is to draw attention to the use of fuzzy sets in default reasoning. An attempt has been made to represent and manipulate default consequences which are frequently encountered in reasoning about incompletely speciﬁed worlds, based on the theory of approximate reasoning.
So, a typical proposition from the acceptable set of beliefs, as sanctioned by default in absence of justiﬁcations, may or may not hold with more information at a later time. Therefore, in absence of contradictory evidence we may assume that Arnab being married is over 25 years of age to be partially certain. That is why, in this work, we propose to take the beliefs sanctioned by defaults to be partially certain. This certainty-qualiﬁcation is expressed through imprecise knowledge and is, therefore, represented by a fuzzy set over [0,1], the possible certainty values, rather than a precise number from the said universe.