Usually customers' preference on product varies with personal character, feeling, aesthetic and so on;the personal preference plays an essential role in choice of products. We have proposed a subjective evaluation...
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ISBN:
(纸本)9789812799463
Usually customers' preference on product varies with personal character, feeling, aesthetic and so on;the personal preference plays an essential role in choice of products. We have proposed a subjective evaluation model. Particularly, a preliminary research is conducted to select bipolar words for each sensory attribute by means of semantic differential method and then a population of subjects is called to assess evaluated objects. These subjective data are then used to generate sensory profiles by making use of the voting statistics. Depending on the customer-specified target-oriented preference, we can obtain the probabilities of meeting different targets for each selected sensory attribute, To consider the priorities among targets the appropriate PRI-AVE operator is used to aggregate the partial values.
In this paper, the Facility Layout Problem (FLP) is solved by using a hybrid method that combines a genetic algorithm (GA) and an Ant Colony Optimization (ACO) mixed with a Guided Local Search (ACOGLS). The GA is used...
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ISBN:
(纸本)9789812799463
In this paper, the Facility Layout Problem (FLP) is solved by using a hybrid method that combines a genetic algorithm (GA) and an Ant Colony Optimization (ACO) mixed with a Guided Local Search (ACOGLS). The GA is used to solve the Group Technology Problem (GTP) which groups simultaneously machines and products in cells. The particularity of our method is to use a production volume as input data. ACOGLS solves a QAP using GTP solution.
The design, construction and real time performance of a mobile monitoring system based on a Khepera robot are presented. For the robot navigation, a cascade fuzzy control algorithm is implemented. Fuzzy sensor fusion ...
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ISBN:
(纸本)9789812799463
The design, construction and real time performance of a mobile monitoring system based on a Khepera robot are presented. For the robot navigation, a cascade fuzzy control algorithm is implemented. Fuzzy sensor fusion related to the perception of the environment has been used to reduce the complexity of the navigation function. The identification of test points is carried out by means of a Kohonen neural network. Finally, one-dimensional image processing is used for the recognition of landmarks located at each test point.
In this paper we introduce a generalization of Atanassov's operators relating to each interval-valued fuzzy set a family of fuzzy sets. We construct a class of operators and we show that, under suitable conditions...
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ISBN:
(纸本)9789812799463
In this paper we introduce a generalization of Atanassov's operators relating to each interval-valued fuzzy set a family of fuzzy sets. We construct a class of operators and we show that, under suitable conditions, dimension two OWA operators can be obtained from Atanassov's operators.
We can use the temporal and spatial properties of data for integrating data coining from different data sources more efficiently and according to the requirements of the Data Warehouse administrator. For this integrat...
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ISBN:
(纸本)9789812799463
We can use the temporal and spatial properties of data for integrating data coining from different data sources more efficiently and according to the requirements of the Data Warehouse administrator. For this integration process we propose a fuzzy algorithm in order to obtain more precise data in the Data Warehouse. The data source schemas as well as the Data Warehouse schema are expressed using an extension of an ontology definition language which allows the incorporation of metadata to support the integration process.
The purpose of this paper is to commence studying the incompatibility in the Atanassov's intuitionistic fuzzy sets framework. In order to do this, firstly we deal with the concept of T-incompatible sets, where T i...
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ISBN:
(纸本)9789812799463
The purpose of this paper is to commence studying the incompatibility in the Atanassov's intuitionistic fuzzy sets framework. In order to do this, firstly we deal with the concept of T-incompatible sets, where T is an intuitionistic t-norm, relating it with the N-contradictory sets, where N is a intuitionistic fuzzy negation. Next, an axiomatic model for measuring T-incompatibility is introduced, and finally some methods for obtaining families of such measures are provided.
In this paper we propose a Subjective Logic - based framework which allows composition and rating of semantically described web services. The framework is intended to be applied in so-called SOKU (Service-Oriented Kno...
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ISBN:
(纸本)9789812799463
In this paper we propose a Subjective Logic - based framework which allows composition and rating of semantically described web services. The framework is intended to be applied in so-called SOKU (Service-Oriented Knowledge Utility) environments and involves data fusion from two different sources (the descriptions of services and user ratings assigned to them).
Software becomes a major part of today's enterprise business. Better managing risks on software development projects is vital to produce successful software systems. This study proposes a multi-criteria decision-m...
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ISBN:
(纸本)9789812799463
Software becomes a major part of today's enterprise business. Better managing risks on software development projects is vital to produce successful software systems. This study proposes a multi-criteria decision-making approach based on the Choquet integral for identifying, determining, and analyzing the potential and the most important software development risk factors from developers' perspective with an empirical case study from a Turkish industry.
This paper introduces first the concept of distance density, and then proposes a new hybrid genetic algorithm based on distance density and quasi-simplex technique (HGABDDQT). HGABDDQT produces the offspring using the...
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ISBN:
(纸本)9789812799463
This paper introduces first the concept of distance density, and then proposes a new hybrid genetic algorithm based on distance density and quasi-simplex technique (HGABDDQT). HGABDDQT produces the offspring using the genetic operations and the quasi-simplex technique in parallel. In genetic operations, the crossover probability is determined adaptively by distance density, the mutation probability is determined adaptively by distance density and fitness. No binary encoding/decoding in mutation and crossover operations. HGABDDQT algorithm has been implemented and tested on typical benchmark functions. The experimental study has shown that HGABDDQT is more effective than the competitive algorithm in finding the near global optimal solutions.
In this paper, a decision support system (DSS) based on fuzzy information axiom (FIA) is developed in order to make decision procedure easy. The system consists of knowledge base module including facts and rules, infe...
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ISBN:
(纸本)9789812799463
In this paper, a decision support system (DSS) based on fuzzy information axiom (FIA) is developed in order to make decision procedure easy. The system consists of knowledge base module including facts and rules, inference engine module including FIA and aggregation method, and user interface module including entrance windows. The main aim of this paper is to present a DSS tool to help the decision makers to solve their decision problems by modifying data-base of the program.
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