41 Result(s)
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Chapter
Fuzzy Set Techniques in E-Service Applications
E-services involve various types, delivery systems, advanced information technologies, methodologies and applications of online services that are provided by e-government, e-business, e-commerce, e-market, e-f...
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Chapter
Fuzzy Multi-Objective Decision-Making Models and Approaches
Multi-objective linear programming (MOLP) techniques are widely used to model many organizational decision problems. Referring to the imprecision inherent in human judgments, uncertainty may be incorporated in...
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Chapter
Fuzzy-Set Decision Support for a Belgian Long-Term Sustainable Energy Strategy
This chapter addresses the methodological challenges of develo** relevant scientific knowledge for a sustainable energy system transition in an innovative way. We argue that scientific contributions to susta...
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Chapter
Nuclear Reactor Power Control Using State Feedback with Fuzzy Logic
A novel control scheme for power regulation in a research nuclear reactorhas been developed. The scheme combines different techniques such as state variablefeedback, first order numerical integration for state...
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Chapter
Weak Completeness of Resolution in a Linguistic Truth-Valued Propositional Logic
In the present paper, the weak completeness of a-resolution principle for a lattice-valued logic (L n ×L2)P(X) with truth value in a logical algebra ( lattice implication algebr...
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Chapter
Why Fuzzy Logic? – A Spectrum of Theoretical and Pragmatics Issues
This chapter briefly summarizes the contents of the whole book. The research survey presents a snap shot of the state-of-the-art of the active on-going research of the current maturity of fuzzy logic. In addit...
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Chapter and Conference Paper
On a Mathematical Relationship Between the Fixed Point and the Closed Itemset in Association Rule Mining
Association rule mining is one of important research topics in knowledge discovery and data mining. Recent promising direction of association rule mining is mainly to mine closed itemsets. Based on the Galois ...
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Chapter and Conference Paper
Use of ANN in a Research Reactor Power Fuzzy Controller
Six artificial neural networks (ANN) were developed to compute the membership values of the consequents of a fuzzy rule evaluation table, which is part of a Mamdani type fuzzy controller. This controller is ai...
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Chapter
Modern Approaches and Advanced Applications for Plant Surveillance and Diagnostics: An Overview
The goal of this introductory chapter is to briefly summarise all chapters in this book and to communicate to a wide audience by relating modern approaches and advanced applications for power plant surveillanc...
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Chapter
Concept Lattice-based Approach for Incrementally Association Mining
In this paper, a novel Concept Lattice-based Incrementally Large Itemset Generation Algorithm (CLLGA) is presented to discover association rules. As an important database discovery method, the kernel of associ...
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Chapter
Interesting Rough Lattice-based Implication Rules Discovery
As an important data mining technique, implication rules help to explore the dependencies among attributes of a database. In this paper, we aim at finding an efficient algorithm to discover the implication rul...
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Chapter and Conference Paper
On Optimization with Fuzzy Constraint Conditions
In general, it is a difficult problem to solve an optimal criterion set with fuzzy constraint conditions. In this paper, the difficult problem is changed into a simple problem to solve a conditional extreme va...
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Chapter
Adaptive Fuzzy Control for a Simulation of Hydraulic Analogy of a Nuclear Reactor
In the framework of the on-going R&D project on fuzzy control applications to the Belgian Reactor I (BR1) at the Belgian Nuclear Research Centre (SCK•CEN), we have constructed a real fuzzy-logic-control demo m...
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Chapter
Fuzzy Rules Extraction-Based Linguistic and Numerical Heterogeneous Data Fusion for Intelligent Robotic Control
Autonomous robots, which achieve tasks without human operators, are required in many fields. They have to be intelligent to determine their own motions in unknown environments based on both sensory data (numer...
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Chapter
Approximate Reasoning Based on Lattice-Valued Propositional Logic L vpl
This chapter approaches the theory of approximate reasoning in the “If … then…” type approximate-reasoning mode based on the lattice-valued proposition logic L vpl . T...
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Chapter
Fuzzy Logic and Intelligent Computing in Nuclear Engineering
Nuclear engineering is one of the areas with a large potential for applications of fuzzy logic and intelligent computing, the development of which, however, is still in its infancy. The nuclear power industry ...
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Chapter
Systems Analytic Models for Fuzzy Risk Estimation
In this contribution we analyse the difficulties of risk estimation on natural disasters in the real world and present a fuzzy mathematical model, based on the principle of information diffusion, to estimate f...
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Chapter
Novel Neural Algorithms for Solving Fuzzy Relation Equations
Due to the difficulty in a given system of using neural networks to solve fuzzy relation equations, the best learning rate sometimes cannot be decided easily and strict theoretical analyses on convergence of a...
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Chapter
Fuzzy Logic Applications in Nuclear Industry
Fuzzy logic applications in nuclear industry present a tremendous challenge. The main reason for this is the public awareness of the risks of nuclear industry and the very strict safety regulations in force fo...
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Chapter
Information Diffusion Principle and Application in Fuzzy Neuron
In this paper, we demonstrate that the fuzziness of fuzzy information can come not only from the measuring scale, but also from the incompleteness of sample knowledge. Fundamentally, by develo** the method o...
