FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover...
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ISBN:
(数字)9789813273238
ISBN:
(纸本)9789813273221
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.
In this paper, a new method for multiple attribute decision making of time series was studied, namely the relational analysis method for multiple attribute decision making of growth-oriented time series, and this meth...
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ISBN:
(纸本)9789813146969
In this paper, a new method for multiple attribute decision making of time series was studied, namely the relational analysis method for multiple attribute decision making of growth-oriented time series, and this method not only considered the degree of the quality and growth of indicators, but also had an simple, intuitive and practical operation, which provided a more reasonable method to solve the multiple attribute decision making.
Many real problems in group decision making include not only a final decision on the original question, but also need to establish the degree of the consensus or cohesiveness that such final decision conveys to the gr...
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ISBN:
(纸本)9789813146969
Many real problems in group decision making include not only a final decision on the original question, but also need to establish the degree of the consensus or cohesiveness that such final decision conveys to the group. In this contribution we propose a new methodology to measure the degree of consensus obtained in group decision making problems under the assumption of fuzzy preference relations.
Recently the notion of Quaternion Fuzzy Numbers (QFN) was introduced in the literature [I]. The Quaternion Algebra provides applications in many fields, like the representation of rotation and translation of a rigid b...
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ISBN:
(纸本)9789813146969
Recently the notion of Quaternion Fuzzy Numbers (QFN) was introduced in the literature [I]. The Quaternion Algebra provides applications in many fields, like the representation of rotation and translation of a rigid body in three-dimensional space. The purpose of this paper is to briefly present the Quaternion Gradual Number(QGN) concept introduced in [2] and shown as the alpha-cut set of QFN can be represented by these numbers.
We constructed the equivalent conditions of normal filter of pseudo BL-algebras, then we reveal the relation between Boolean filter and normal filter of pseudo BL-algebras, based on which, we solve an open problem tha...
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ISBN:
(纸本)9789813146969
We constructed the equivalent conditions of normal filter of pseudo BL-algebras, then we reveal the relation between Boolean filter and normal filter of pseudo BL-algebras, based on which, we solve an open problem that whether or not every Boolean filter is normal in pseudo BL-algebras.
This extended abstract describes a thesis, which will focus on methods, that incorporate prior knowledge into neural network. This priors will be incorporated by learning from synthetic data sets and design of differe...
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ISBN:
(纸本)9789813146969
This extended abstract describes a thesis, which will focus on methods, that incorporate prior knowledge into neural network. This priors will be incorporated by learning from synthetic data sets and design of different architectures of the network.
This paper deals with hybrid flow shop with multiprocessor task scheduling (HFSMT) under the environment of a common time window. The window size and location are considered to be given parameters. The objective is to...
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ISBN:
(纸本)9789813146969
This paper deals with hybrid flow shop with multiprocessor task scheduling (HFSMT) under the environment of a common time window. The window size and location are considered to be given parameters. The objective is to minimize the total penalty cost incurred by earliness and tardiness of jobs. In this paper, a Memetic algorithm in which a global search algorithm is accompanied with local search mechanism is developed to solve the HFSMT and HFSMT with jobs having a common time window along with experimental design to determine the best parameter set for each problem type.
Business process and workflows represent diagrams as Business Process Model Language (BPML), Unified Model Language (UML), which may contain errors made by a designer. In order to check that errors, we developed a new...
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ISBN:
(纸本)9789813146969
Business process and workflows represent diagrams as Business Process Model Language (BPML), Unified Model Language (UML), which may contain errors made by a designer. In order to check that errors, we developed a new grammar (called RV-grammar) that allows us to increase quality of business process management and workflow systems. We propose an intelligent agent system based on RV-grammar to analysis business-process models for manufacturing. The system has linear time in order to facilitate the automatically identification of a variety of syntax and semantical errors in workflow models, which enables the analysis of 4 additional types of errors.
Currently, many applications rely on data intensive operation which provide in-valuable information. This data however, is not static based and they are generated on the fly using dynamic server side scripts. This dat...
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ISBN:
(纸本)9789813146969
Currently, many applications rely on data intensive operation which provide in-valuable information. This data however, is not static based and they are generated on the fly using dynamic server side scripts. This data is known as deep web or hidden web. Extracting data from the deep web is a non-trivial task as deep web data is highly dynamic and occur in numerous forms. Furthermore, deep web data is non searchable by existing state of the art search engines, and they can neither be indexed by existing search engines. In this paper, we propose a novel ontology tool which could effectively extract deep web data regardless of its format, layout, and written language. Inspired by the wide applicability of ontologies, we hope to utilize the semantic properties of deep web data for data extraction, which contain invaluable information with high semantic similarities. Experimental results show that our tool is highly efficient in extracting data from the deep web compared to existing state of the art systems.
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.
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