Classical and fuzzy concepts in mathematical logic and applications

著者

書誌事項

Classical and fuzzy concepts in mathematical logic and applications

Mircea Reghiș, Eugene Roventa

CRC Press, c1998

大学図書館所蔵 件 / 15

この図書・雑誌をさがす

注記

Includes bibliographical references (p. 359-362) and index

内容説明・目次

内容説明

Classical and Fuzzy Concepts in Mathematical Logic and Applications provides a broad, thorough coverage of the fundamentals of two-valued logic, multivalued logic, and fuzzy logic. Exploring the parallels between classical and fuzzy mathematical logic, the book examines the use of logic in computer science, addresses questions in automatic deduction, and describes efficient computer implementation of proof techniques. Specific issues discussed include: Propositional and predicate logic Logic networks Logic programming Proof of correctness Semantics Syntax Completenesss Non-contradiction Theorems of Herbrand and Kalman The authors consider that the teaching of logic for computer science is biased by the absence of motivations, comments, relevant and convincing examples, graphic aids, and the use of color to distinguish language and metalanguage. Classical and Fuzzy Concepts in Mathematical Logic and Applications discusses how the presence of these facts trigger a stirring, decisive insight into the understanding process. This view shapes this work, reflecting the authors' subjective balance between the scientific and pedagogic components of the textbook. Usually, problems in logic lack relevance, creating a gap between classroom learning and applications to real-life problems. The book includes a variety of application-oriented problems at the end of almost every section, including programming problems in PROLOG III. With the possibility of carrying out proofs with PROLOG III and other software packages, readers will gain a first-hand experience and thus a deeper understanding of the idea of formal proof.

目次

Preliminaries of "Naive" Mathematical Logic. Propositional Logic: The Formal Language of Propositional Logic. The Truth Structure on Lo in Semantic Version. The Truth Structure of Lo in Syntactic Version. Other Syntactic Versions of the Truth Structure on Lo. Elements of Fuzzy Propositional Logic. Applications in Computer Science. Exercises. Predicate Logic: Introductory Considerations. The Formal Language Predicate Logic. The Semantic Truth Structure on the Language L of Predicate Logic. The Syntactic Truth Structure on the Language L of Predicate Logic. Elements of Fuzzy Predicate Logic. Applications in Computer Science. Exercises. Boolean Algebras. MV-Algebras. General Considerations about Fuzzy Sets. Index.

「Nielsen BookData」 より

詳細情報

ページトップへ