Why Fuzzy Logic? - A Spectrum of Theoretical and Pragmatics Issues.- On Fuzzy Set Theories.- Uninorm Basics.- Structural Interpolation and Approximation with Fuzzy Relations: A Study in Knowledge Reuse.- On Fuzzy Logic and Chaos Theory.- Upper and Lower Values for the Level of Fuzziness in FCM.- Mathematical Modeling of Natural Phenomena: A Fuzzy Logic Approach.- Mathematical Fuzzy Logic in Modeling of Natural Language Semantics.- Analytical Theory of Fuzzy IF-THEN Rules with Compositional Rule of Inference.- Fuzzy Logic and Ontology-based Information Retrieval.- Real-World Fuzzy Logic Applications in Data Mining and Information Retrieval.- Gene Regulatory Network Modeling: A Data Driven Approach.- An Abstract Approach Toward the Evaluation of Fuzzy Rule Systems.- Nuclear Reactor Power Control Using State Feedback with Fuzzy Logic.- The Fusion of Genetic Algorithms and Fuzzy Classification for Transient Identification.- The Role of Fuzziness in Decision Making.- Fuzzy Linear Bilevel Optimization: Solution Concepts, Approaches and Applications.- Fuzzy Predictive Earth Analysis Constrained by Heuristics Applied to Stratigraphic Modeling.- Fuzzy Logic for Modeling the Management of Technology.

In order to properly characterize the content of this book, it is important to clarify ?rst the intended meaning of its title Fuzzy Logic. This clari?cation is needed since the term ¿fuzzy logic,¿ as currently used in the literature, is viewed either in a narrow sense or in a broad sense. In the narrow sense, fuzzy logic is viewed as an area devoted to the formal development, in a u- ?ed way, of the various logical systems of many-valued logic. It is concerned withformalizingsyntactic aspects(basedonthenotionofproof)andsemantic aspects (based on the notion oftruth) of the variouslogical calculi. In order to be acceptable, each of these logical calculi must be sound (provability implies truth) and complete (truth implies provability). The most representativep- lication of fuzzy logic in this sense is, in my opinion, the classic book by Peter Hajek [1]. When the term ¿fuzzy logic¿ is viewed in the broad sense, it refers to an extensive agenda whose primary aim is to utilize the apparatus of fuzzy set theoryfordevelopingsoundconcepts,principles,andmethodsforrepresenting and dealing with knowledge expressed by statements in natural language. Although workin fuzzy logicin the broadsense is not directly concernedwith the issues that are investigated under fuzzy logic in the narrow sense, the importance of the latter is that it provides the former with solid theoretical foundations. After examining the content of this book, it is easy to conclude that its title,FuzzyLogic, referstofuzzylogicinthebroadsense. Thisisconsistent,by and large, with the usual meaning of the term ¿fuzzy logic¿ in the literature.