Fuzzy modus ponens (FMP) and the fuzzy modus tollens (FMT) are two important models of fuzzy inference. In the present work, we present the form of linguistic intuitionistic modus ponens (LIMP) and linguistic intuitio...
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ISBN:
(纸本)9789813146969
Fuzzy modus ponens (FMP) and the fuzzy modus tollens (FMT) are two important models of fuzzy inference. In the present work, we present the form of linguistic intuitionistic modus ponens (LIMP) and linguistic intuitionistic modus tollens (LIMT) with two tuples, which are important in the approximate reasoning problem based on linguistic-valued intuitionistic fuzzy lattice implication algebra. The similar-based algorithm formulas are proposed and their properties are discussed illustrating the rationality.
This paper proposes an improved genetic algorithm (IGA) by giving novel crossover probability and mutation probability. A fuzzy logic controller (FLC) is designed for the double inverted pendulum, and the parameters o...
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ISBN:
(纸本)9789813146969
This paper proposes an improved genetic algorithm (IGA) by giving novel crossover probability and mutation probability. A fuzzy logic controller (FLC) is designed for the double inverted pendulum, and the parameters of the membership function (MF) of the language variables are optimized in FLC. The simulation results show that IGA is better than the classical GA.
The aim of this study is to show what type of basic fuzzy time series (TS) models was the most accurate in the set of data CIF 2015 competition organized in the framework of IFSA - EUSFLAT 2015 conference. Three types...
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ISBN:
(纸本)9789813146969
The aim of this study is to show what type of basic fuzzy time series (TS) models was the most accurate in the set of data CIF 2015 competition organized in the framework of IFSA - EUSFLAT 2015 conference. Three types of fuzzy TS models were investigated: model, based on fuzzified TS values, model, based on fuzzified first differences of TS values and model, based on the elementary fuzzy tendencies. In the study forecasting accuracy of these fuzzy TS models analyzed in dependence of different characters of TS.
作者：
Liu, JunUniv Ulster
Sch Comp & Math Coleraine BT52 1SA Londonderry North Ireland
Belief-rule based methodology (called RIMER), as a novel advanced and generic rule-based system, is receiving increasing attention and is becoming increasingly affluent since its first publication. This present review...
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ISBN:
(纸本)9789813146969
Belief-rule based methodology (called RIMER), as a novel advanced and generic rule-based system, is receiving increasing attention and is becoming increasingly affluent since its first publication. This present review-oriented paper is focused on highlighting the key strengths of the RIMER, especially clarifying how the RIMER along with its advancement can help resolve the limitations of the existing rule-based systems, and also identifying the remaining challenges issue and some perspectives.
The ubiquitous situation-aware applications must be aware of their contexts of interest and adapt to changes in them. This paper presents a view of EXEHDA (Execution Environment for Highly Distributed Applications), a...
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ISBN:
(纸本)9789813146969
The ubiquitous situation-aware applications must be aware of their contexts of interest and adapt to changes in them. This paper presents a view of EXEHDA (Execution Environment for Highly Distributed Applications), a middleware conceived to support the execution of ubiquitous situation-aware applications. Particularly, we highlight an architecture integrated to EXEHDA middleware, named EXEHDA-HP*, created for supporting hybrid processing of context data, aiming at detection of situations. The main contribution of this work is a distributed architecture that enables the use of specification-based and learning-based approaches to hybrid processing of context.
The Genetic algorithm is a heuristic search algorithm. Using heuristic search algorithm for SAT problems is more effective than the traditional methods. However, simply use genetic algorithm for solving SAT problems c...
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ISBN:
(纸本)9789813146969
The Genetic algorithm is a heuristic search algorithm. Using heuristic search algorithm for SAT problems is more effective than the traditional methods. However, simply use genetic algorithm for solving SAT problems can easily fall into local optimum. This paper presents a parallel genetic algorithm framework which based on coarse-grained model for solving SAT problems. The parallel mechanism can improve the solving speed and the coarse-grained model make it possible for that each compute node independently evolved, to ensure the diversity of the population.
In this paper, a review of chaos theory, which has been practiced in neural network since 2000, has been presented. A short introduction for chaos theory in the field of artificial neural network has been presented to...
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ISBN:
(纸本)9789813146969
In this paper, a review of chaos theory, which has been practiced in neural network since 2000, has been presented. A short introduction for chaos theory in the field of artificial neural network has been presented to clarify connection between chaos and different neural network architectures. Phase space construction that covers the time delay, embedding dimension, Lyapunov exponent and fractal dimension has been described in the scope of the introduction of chaos theory. Moreover, neural networks, which have been mostly practiced with chaos theory, have been stated. This study aims to clarify the integrated application between chaos theory and different neural network architectures. This paper would guide future research directions in distinct fields and present the methods to be exerted in neural network.
Continuing earlier work, this paper conceptualizes an adaptive methodology to parametrically design garments on virtual mannequins for a target population. The target population is composed of 485 women scanned in 200...
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ISBN:
(纸本)9789813146969
Continuing earlier work, this paper conceptualizes an adaptive methodology to parametrically design garments on virtual mannequins for a target population. The target population is composed of 485 women scanned in 2006 by IFTH, the French research institute and it has been classified into three clusters which give us three parametric mannequins. In this paper, each of these mannequins is associated with a process of parametric garment design and its grading based on differences in stature, volume, and ease allowance. We show how neck and armhole lines are pivotal for draping the garment on a mannequin. We find clear benefits in terms of facilitation and improvement in our method of 3D parametrization providing design rules for specifying neck line and armhole line design. We expect this method of 3D parametric garment design to facilitate and improve not only the specific lines under analysis but also the design process as a whole, and hence to assure the good consumer fit.
Resolution principle proposed originally by Robinson in 1965 has dominated automated deduction for over three decades while the current most successful automated deduction systems are based on resolution. In this pape...
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ISBN:
(纸本)9789813146969
Resolution principle proposed originally by Robinson in 1965 has dominated automated deduction for over three decades while the current most successful automated deduction systems are based on resolution. In this paper, we consider a generalization of the standard resolution principle and their variation since then, it is proposed as a multi-ary, dynamic, contradiction separation based inference rule for automated deduction, where the existing resolution rule and its variations are its special cases. The key concepts and some conclusions are briefly outlined in this short paper.
A novel approach to ranking fuzzy numbers based on Fuzzy Acceptability Analysis (FAA) is considered. The use of FAA represents a consistent approach to fuzzy decision analysis in accordance with the concept that "...
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ISBN:
(纸本)9789813146969
A novel approach to ranking fuzzy numbers based on Fuzzy Acceptability Analysis (FAA) is considered. The use of FAA represents a consistent approach to fuzzy decision analysis in accordance with the concept that "decision taken in a fuzzy environment should be inherently fuzzy". The two preference relations for ranking fuzzy numbers with the use of FAA are presented. Implementation of FAA within fuzzy Multicriteria Decision Analysis is considered based on ranking fuzzy numbers/alternatives with indicating a fuzzy measure (degree of confidence) for each rank.
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