Identification of P-Fuzzy Switching Functions

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概要

• 論文の詳細を見る

• A P-Fuzzy Switching Function is a meaningful class of fuzzy switching functions that is representable by a logic formula consisting of prime implicants. This paper aims at extracting knowledge represented as prime implicants from a given learning data. The main results are the necessary and sufficient conditions for the learning data to be representable with P-fuzzy switching functions, and to be determined by unique logic formula.

• 社団法人電子情報通信学会の論文
• 1995-07-25

著者

• Mukaidono Masao

  Department of Computer Science, Meiji University

• Mukaidono Masao

  Meiji University

• Mukaidono M

  Meiji Univ. Kawasaki‐shi Jpn

• Kikuchi Hiroaki

  Faculty of Engineering, Tokai University

• Mukaidono Masao

  Faculty of Science and Technology, Meiji University

• Kikuchi Hiroaki

  Faculty Member In The Department Of Information Media Technology Tokai University

• Kikuchi Hiroaki

  Faculty Of Engineering Tokai University

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• LSI Implementation and Safety Verification of Window Comparator Used in Fail-Safe Multiple-Valued Logic Operations (Special Issue on Multiple-Valued Integrated Circuits)
• A Necessary and Sufficient Condition for Kleenean Functions
• Some Properties and a Necessary and Sufficient Condition for Extended Kleene-Stone Logic Functions (Special Issue on Multiple-Valued Logic)
• Identification of P-Fuzzy Switching Functions
• Logic and Method of Safety in Controlling a Power Press
• Incompletely Specified Regular Ternary Logic Functions and Their Minimization (Special Issue on Multiple-Valued Logic and Its Applications)
• An Optimum Half-Hot Code Assignment Algorithm for Input Encoding and Its Application to Finite State Machines

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