





Advances in Fuzzy Implication Functions (Studies in Fuzziness and Soft Computing)
Fuzzy implication functions are one of the main operations in fuzzy logic. They generalize the classical implication, which takes values in the set {0,1}, to fuzzy logic, where the truth values belong to the unit interval [0,1]. These functions are not only fundamental for fuzzy logic systems, fuzzy control, approximate reasoning and expert...     Principles of Constraint Programming
This book is about constraint programming, an alternative approach to programming which relies on a combination of techniques that deal with reasoning and computing. It has been successfully applied in a number of fields including molecular biology, electrical engineering, operations research and numerical analysis. The central notion is that... 

Cost Estimation Techniques for Web ProjectsHaving realistic estimates of effort at an early stage in a Web project's life is vital to the successful management of resources. The principles of the prediction process are identifying the influencing factors, gathering past project data, generating an effort prediction model, and assessing the effectiveness of such prediction model. Cost...   Modelling and Reasoning with Vague ConceptsVagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this...   Foundations of Dependable Computing: Paradigms for Dependable ApplicationsFoundations of Dependable Computing: Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level. Driven by the higher level fault models of Models and Frameworks for Dependable Systems, and built on the lower level abstractions implemented in a third companion book... 


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