Fuzzy inference with propagation of asymmetric convex constraints

Kiyohiko Uehara; Kaoru Hirota

Fuzzy inference with propagation of asymmetric convex constraints

Kiyohiko Uehara^*
, Kaoru Hirota

^*此作品的通讯作者

Toshiba Corporation

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

A fuzzy inference method is proposed which provides control schemes for propagating the asymmetric constraints in given facts to inference consequences in convex forms. The proposed inference method is based on α-GEM (α-level-set and GEneralized-Mean based inference). The parameters for the propagation in α-GEM are adjusted by using the fuzzy tautological rules generated from the antecedent parts of given fuzzy rules. The properties of the proposed inference method are clarified and then its feasibility is shown through simulation studies.

源语言	英语
页（从-至）	V-256 - V-261
期刊	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
卷	5
出版状态	已出版 - 1999
已对外发布	是
活动	1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn 期限: 12 10月 1999 → 15 10月 1999

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title = "Fuzzy inference with propagation of asymmetric convex constraints",

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AU - Uehara, Kiyohiko

AU - Hirota, Kaoru

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N2 - A fuzzy inference method is proposed which provides control schemes for propagating the asymmetric constraints in given facts to inference consequences in convex forms. The proposed inference method is based on α-GEM (α-level-set and GEneralized-Mean based inference). The parameters for the propagation in α-GEM are adjusted by using the fuzzy tautological rules generated from the antecedent parts of given fuzzy rules. The properties of the proposed inference method are clarified and then its feasibility is shown through simulation studies.

AB - A fuzzy inference method is proposed which provides control schemes for propagating the asymmetric constraints in given facts to inference consequences in convex forms. The proposed inference method is based on α-GEM (α-level-set and GEneralized-Mean based inference). The parameters for the propagation in α-GEM are adjusted by using the fuzzy tautological rules generated from the antecedent parts of given fuzzy rules. The properties of the proposed inference method are clarified and then its feasibility is shown through simulation studies.

UR - https://www.scopus.com/pages/publications/17044453163

M3 - Conference article

AN - SCOPUS:17044453163

SN - 0884-3627

VL - 5

SP - V-256 - V-261

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

T2 - 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'

Y2 - 12 October 1999 through 15 October 1999

ER -

Fuzzy inference with propagation of asymmetric convex constraints

摘要

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