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This book reports on advanced concepts in fuzzy graph theory, showing a set of tools that can be successfully applied to understanding and modeling illegal human trafficking.
Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others.
How far can you take fuzzy logic, the brilliant conceptual framework made famous by George Klir? It serves a number of functions, from an introductory text on the concept of fuzzy logic to a treatment of cutting-edge research problems suitable for a fully paid-up member of the fuzzy logic community.
This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption;
The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others.
This book reports on advancedtheories and cutting-edge applications in the field of soft computing.
This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years.
It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others.
The book is a collection of contributionsby leading experts, developed around traditional themes discussed at the annualLinz Seminars on Fuzzy Set Theory.
Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems.
The notions of mutual reinforcement or redundancy are modeled explicitly through coefficients of fuzzy measures, and fuzzy integrals, such as the Choquet and Sugeno integrals combine the inputs.
This book explores recent perspectives on type-2 fuzzy sets. Written as a tribute to Professor Jerry Mendel for his pioneering works on type-2 fuzzy sets and systems, it covers a wide range of topics, including applications to the Go game, machine learning and pattern recognition, as well as type-2 fuzzy control and intelligent systems.
The book is an authoritative collection of contributions by leading experts on the topics of fuzzy logic, multi-valued logic and neural network.
The book alsoincludes an overview of evolutionary fuzzy systems, a topic that is not one of Mayor's main areas of interest, and a final chapterwritten by the Spanish pioneer in fuzzylogic, Professor E.
The book reportson the latest advances in and applications of chaos theory and intelligentcontrol. Topicsinclude fractional chaotic systems, chaos control, chaos synchronization,memristors, jerk circuits, chaotic systems with hidden attractors, mechanicaland biological chaos, and circuit realization of chaotic systems.
This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices.
Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others.
The book is a token of appreciation from the fuzzy researchcommunity to Professor Christer Carlsson for his long time research and organizationalcommitment, which have among other things resulted in the foundation and success of theInstitute for Advanced Management Systems Research (IAMSR) at Abo Akademi University, in Abo(Turku), Finland.
This book offers a timely snapshot of current soft-computing research and solutions to decision-making and optimization problems, which are ubiquitous in the current social and technological context, addressing fields including logistics, transportation and data analysis.
The book is a collection of contributionsby leading experts, developed around traditional themes discussed at the annualLinz Seminars on Fuzzy Set Theory.
This book is open access under a CC BY 4.0 license. This open access book offers comprehensive coverage on Ordered Fuzzy Numbers, providing readers with both the basic information and the necessary expertise to use them in a variety of real-world applications.
The book is an authoritative collection of contributions by leading experts on the topics of fuzzy logic, multi-valued logic and neural network.
This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption;
The book alsoincludes an overview of evolutionary fuzzy systems, a topic that is not one of Mayor's main areas of interest, and a final chapterwritten by the Spanish pioneer in fuzzylogic, Professor E.
The book reportson the latest advances in and applications of chaos theory and intelligentcontrol. Topicsinclude fractional chaotic systems, chaos control, chaos synchronization,memristors, jerk circuits, chaotic systems with hidden attractors, mechanicaland biological chaos, and circuit realization of chaotic systems.
This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh's seminal paper on "fuzzy sets," published in 1965.
Biological systems are inherently stochastic and uncertain. This book shows how fuzzy logic, a powerful tool in capturing uncertainties in engineering systems, has in recent years become popular in analyzing biological data and modeling biological systems.
The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems.
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