Data clustering is widely used in management decision and other fields. The traditional methods of data clustering based on offline calculating are faced with the challenge of speed and cost in the process of emergenc...
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ISBN:
(纸本)9789814619967
Data clustering is widely used in management decision and other fields. The traditional methods of data clustering based on offline calculating are faced with the challenge of speed and cost in the process of emergency decision making of social problem. Therefore, it's necessary to research a new method of data clustering as online using intelligent technologies. On discussing on the problem of data clustering, analyzing the basic assumption and selection criteria, a dynamic program of data clustering based online is put forward in this paper. The theory of dynamic learning is used in establishing an algorithm of data clustering.
As a continuation and extension of the established work on binary resolution at certain truth-value level (called alpha-resolution), this paper introduces non clausal multi-ary alpha-generalized resolution principle a...
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ISBN:
(纸本)9789814619967
As a continuation and extension of the established work on binary resolution at certain truth-value level (called alpha-resolution), this paper introduces non clausal multi-ary alpha-generalized resolution principle and deduction for lattice valued propositional logic LP(X) based on lattice implication algebra, which is essentially a non-clausal generalized resolution avoiding the reduction to normal clausal form. Non-clausal multi-ary alpha-generalized resolution deduction in LP(X) is then proved to be sound and complete.
Seeing the business flows of service composition as the research object, this paper aims at bringing the security service provided by security components that deployed by system into composition service. Its major foc...
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ISBN:
(纸本)9789814619967
Seeing the business flows of service composition as the research object, this paper aims at bringing the security service provided by security components that deployed by system into composition service. Its major focus is in the premise of ensuring the accuracy of system business, to formulate the security efficiency that transitional operation composition of security service identifies system business, and to put forward a safeguard approach that reasonably restructure the security components targeting the security service which dissatisfies system requirements. By producing an appropriate redundant path of component service based on the existing execution records and logical structure, this approach will help reach the safeguard goals of business operation security in information system.
This paper introduces preliminary concepts on interval fuzzy Bayesian games, based on interval-valued fuzzy probabilities for modeling of types of agents involved in the interaction. The interval-valued fuzzy probabil...
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ISBN:
(纸本)9789814619967
This paper introduces preliminary concepts on interval fuzzy Bayesian games, based on interval-valued fuzzy probabilities for modeling of types of agents involved in the interaction. The interval-valued fuzzy probabilities are given by symmetric triangular interval fuzzy numbers, inspired by Buckley and Eslami, who considered an arithmetic restriction on the interval [0, 1] in their representation of uncertain probabilities by fuzzy numbers.
This paper investigates the use of RBF neural networks for software effort estimation. The focus of this study is on the design of these networks, especially their middle layer composed of receptive fields, using the ...
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ISBN:
(纸本)9789814619967
This paper investigates the use of RBF neural networks for software effort estimation. The focus of this study is on the design of these networks, especially their middle layer composed of receptive fields, using the Self Organizing Maps (SOM). An evaluation of the accuracy of effort estimation models that use either an RBFN construction-based on SOM, C-means or APC-III, is hence presented. This study uses the Tukutuku dataset.
In this paper we consider the notion of Fuzzy Lattices which was introduced by Chon in 2009. We define the fuzzy homomorphism between fuzzy lattices and proved some results of fuzzy homomorphism on bounded fuzzy latti...
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ISBN:
(纸本)9789814619967
In this paper we consider the notion of Fuzzy Lattices which was introduced by Chon in 2009. We define the fuzzy homomorphism between fuzzy lattices and proved some results of fuzzy homomorphism on bounded fuzzy lattices. Also, we prove some results involving fuzzy homomorphism and ideals.
Based on 6-elements linguistic truth-valued lattice implication algebras this paper discusses 6-elements linguistic truth-valued first-order logic system. We give some equivalent formal of 6-elements linguistic truth-...
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ISBN:
(纸本)9789814619967
Based on 6-elements linguistic truth-valued lattice implication algebras this paper discusses 6-elements linguistic truth-valued first-order logic system. We give some equivalent formal of 6-elements linguistic truth-valued first-order logic system is given. We provide 6-elements linguistic truth-valued first-order logic of general implications formula and the law of negative transformation.
Hybrid morphological/linear neural networks combine morphological with linear operators. In this paper, we introduce a feedforward artificial neural network representing a hybrid fuzzy morphological/linear perceptron ...
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ISBN:
(纸本)9789814619967
Hybrid morphological/linear neural networks combine morphological with linear operators. In this paper, we introduce a feedforward artificial neural network representing a hybrid fuzzy morphological/linear perceptron called fuzzy dilation/erosion/linear perceptron (F-DELP). Following Pessoa's and Fiaragos' ideas, we apply an appropriate smoothing to overcome the non-differentiablity of the fuzzy dilation and erosion operators employed in the proposed F-DELP models. Then, training is achieved using a traditional backpropagation algorithm. Finally, we apply the F-DELP model to some well-known classification problems and compare the results with the ones produced by other classifiers.
The decision support system is a software system that aims to facilitate and/or enhance the process of decision making activities at any organizational level. Decision support system has moved from the traditional rol...
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ISBN:
(纸本)9789814619967
The decision support system is a software system that aims to facilitate and/or enhance the process of decision making activities at any organizational level. Decision support system has moved from the traditional role of supporting traditional business process into supporting intelligent decision making. Most of the proposed software architectures for decision support system are domain-specific software architecture. We have proposed simplified software architecture for decision support systems that is suitable as a generic software architectural style for decision support systems. We believe that the proposed software architectural style can work for many different domain problems for decision support systems.
In 2013, Bergamaschi and Santiago(1) proposed Strongly Prime Fuzzy(SP) ideals for commutative and noncommutative rings with unity, and investigated their properties. This paper goes a step further since it provides th...
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ISBN:
(纸本)9789814619967
In 2013, Bergamaschi and Santiago(1) proposed Strongly Prime Fuzzy(SP) ideals for commutative and noncommutative rings with unity, and investigated their properties. This paper goes a step further since it provides the concept of Strongly Prime Radical of a fuzzy ideal and its properties are investigated. It is shown that Zadeh's extension preserves strongly prime radicals. Also, a version of Theorem of Correspondence for strongly prime fuzzy ideals is proved.
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