ISKE2009 is the fourth in a series of conferences on Intelligent Systems and Knowledge engineering. The ISKE2009 proceedings covers state-of-the-art research and development in various areas of Intelligent Systems and...
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ISBN:
(数字)9789814295062
ISBN:
(纸本)9789814295055
ISKE2009 is the fourth in a series of conferences on Intelligent Systems and Knowledge engineering. The ISKE2009 proceedings covers state-of-the-art research and development in various areas of Intelligent Systems and Knowledge engineering, particularly of Intelligent Decision Making Systems.
Fabric-hand evaluation is one of the key features and measures in textile material selection for fashion design. Fabric-hand evaluation requires considering multiple criteria with in a group of evaluators, The evaluat...
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ISBN:
(纸本)9789812799463
Fabric-hand evaluation is one of the key features and measures in textile material selection for fashion design. Fabric-hand evaluation requires considering multiple criteria with in a group of evaluators, The evaluation process often involves fuzziness in the weights of criteria and the judgments of evaluators. This study first develops a multi-level textile material fabric-hand evaluation model. It then proposes a fuzzy multi-criteria group decision-making (FMCGDM) method for the evaluation. A fuzzy multi-criteria group decision support system (FMCGDSS) is developed to implement the proposed method and applied in textile material fabric-hand evaluation.
In this work we are interested in characterizing objective functions which do not change the set of efficient solutions (weakly efficient solutions, properly efficient solutions). Necessary and sufficient conditions f...
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ISBN:
(纸本)9789812799463
In this work we are interested in characterizing objective functions which do not change the set of efficient solutions (weakly efficient solutions, properly efficient solutions). Necessary and sufficient conditions for an objective function to be nonessential (weakly nonessential, properly nonessential) are presented. We establish relations between: weakly nonessential, properly nonessential and nonessential functions.
The goal of this contribution is to present a computer-based application of an Adaptive Consensus Support System that deals with heterogeneous information. This application may be used to carry out consensus processes...
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ISBN:
(纸本)9789812799463
The goal of this contribution is to present a computer-based application of an Adaptive Consensus Support System that deals with heterogeneous information. This application may be used to carry out consensus processes in Group Decision Making Problems defined in heterogeneous contexts. It allows experts to express their opinions using multiple expression domains in order to bring decision situation closer to real-word problems. In addition, the implemented consensus process is adaptive, Le, it can adjust its behavior depending on the level of agreement reached in each consensus round, suggesting a greater number of changes when the agreement is far, and decreasing it when the consensus becomes nearly.
Type-1 OWA operator provides us with a new technique for directly aggregating linguistic variables expressing human experts' opinions or preferences by fuzzy sets via OWA mechanism in soft decision making. However...
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ISBN:
(纸本)9789812799463
Type-1 OWA operator provides us with a new technique for directly aggregating linguistic variables expressing human experts' opinions or preferences by fuzzy sets via OWA mechanism in soft decision making. However, the existing Direct Approach to performing type-1 OWA operation involves high computational overhead. In this paper, a fast approach, called a-level Approach, is suggested to implement the type-1 OWA operator. Experimental results have shown that the a-level Approach can achieve much higher computing efficiency in performing type-1 OWA operation than the Direct Approach.
The proper and timely fault diagnosis is of premier importance to guarantee the safe and reliable operation of nuclear power plants (NPPs). In this paper, fuzzy inference system is adopted for the diagnosis of abrupt ...
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ISBN:
(纸本)9789812799463
The proper and timely fault diagnosis is of premier importance to guarantee the safe and reliable operation of nuclear power plants (NPPs). In this paper, fuzzy inference system is adopted for the diagnosis of abrupt faults in a nonlinear model of a typical pressurized water reactor (PWR). The fuzzy system is tested with different shape of membership functions (MFs). The if-then rules, representing the underlying processes are inferred from the available fault-symptom relations. The symptoms are generated using plant model measurements.
Based on the theory of fuzzy logic in sense of Parvelka's theory, in this paper, we investigate the semantical theory of propositional fuzzy logic based on Lukasiewicz algebra on [0,1]. The tautology theory is est...
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ISBN:
(纸本)9789812799463
Based on the theory of fuzzy logic in sense of Parvelka's theory, in this paper, we investigate the semantical theory of propositional fuzzy logic based on Lukasiewicz algebra on [0,1]. The tautology theory is established by extending concept of tautology in classical setting to generalized tautology, the mutual relation among generalized tautologies is investigated.
A critical issue in clinical decision support system (CDSS) research area is how to represent and reason with both medical domain knowledge and clinical symptoms to arrive at reliable conclusions even when under uncer...
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ISBN:
(纸本)9789812799463
A critical issue in clinical decision support system (CDSS) research area is how to represent and reason with both medical domain knowledge and clinical symptoms to arrive at reliable conclusions even when under uncertainty. This paper describes how to apply a recently developed generic rule-base inference methodology using the evidential reasoning (RIMER) approach to model clinical domain knowledge and clinical inference process in a CDSS. A simple case study is employed to illustrate the new belief rule-based CDSS, and the result shows that the proposed CDSS is capable of modeling and reasoning with both clinical domain knowledge and clinical symptoms under various types of uncertainties. Moreover, the diagnosis results generated by the CDSS can be used to rank the severity of patient cases.
In this paper we provide a general description of how to combine a collection (not necessarily finite) of asymmetric distances in order to obtain a single one as output. Moreover, we apply the results obtained in our ...
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ISBN:
(纸本)9789812799463
In this paper we provide a general description of how to combine a collection (not necessarily finite) of asymmetric distances in order to obtain a single one as output. Moreover, we apply the results obtained in our framework to the complexity analysis of programs and algorithms in computerscience.
Joint Commission International (JCI) has been dedicated to improving the quality and safety of health care services. Today, the largest certification body of health care organizations in the United States, the Joint C...
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ISBN:
(纸本)9789812799463
Joint Commission International (JCI) has been dedicated to improving the quality and safety of health care services. Today, the largest certification body of health care organizations in the United States, the Joint Commission surveys nearly 20,000 health care programs through a voluntary accreditation process. The Joint Commission is a none-profit organization. The JCI continuously improves the safety and quality of care in the international community through the provision of education and international accreditation. The JCI standard contains different subjects such as Prevention of Infection, Patient and Family Rights, Leadership, Facility Management, Safety. Clients do not always appreciate differences among JCI consultants. This paper aims to provide an analytical tool to select the best JCI consultant providing the most customer satisfaction. The clients of three Turkish JCI consultancy firms were interviewed and the most important criteria taken into account by the clients while they were selecting their consultancy firms were determined by a designed questionnaire. The fuzzy analytic hierarchy process was applied to compare these consultancy firms. The means of the triangular fuzzy numbers produced by the customers and experts for each comparison were successfully used in the pair wise comparison matrices.
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