• Title/Summary/Keyword: hierarchical fuzzy process

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A Study on Hierarchical Fuzzy Process using Fuzzy Relation Equation (퍼지관계방정식을 이용한 계층퍼지분석법에 관한 연구)

  • 류형근;이철영
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2000.11a
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    • pp.25.2-31
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    • 2000
  • Recently, Fuzzy theory has been applied in evaluation problem. Fuzzy evaluation based on Fuzzy theory can accommodate fuzziness of judgement with people through introducing Fuzzy measure. Representative Fuzzy evaluation is Fuzzy Integral using Fuzzy measure. Definite methodology using Fuzzy Integral HFI(Hierarchical Fuzzy Integrals), HFEA(Hierarchical Fuzzy Evaluation Algorithm), HFP(Hierarchical Fuzzy Process), etc. In this paper, we deal with problem identifying evaluation value using Fuzzy Relation Equation at these Fuzzy evaluation. We verify relation between Input data and Output data through @-operation and apply this to HFP. And that we verify evaluation value which objects of evaluation are able to possess.

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A Study on Competition Strategy of Korail's Logistics Services Using Hierarchical Fuzzy Process and Fuzzy Relation Equation (Hierarchical Fuzzy Process법 및 퍼지관계방정식을 이용한 철도물류서비스의 경쟁우위 전략에 관한 연구)

  • Yoo Seung-Yeul;Lee Jae-Won;Kwan Yong-Jang
    • Journal of the Korean Society for Railway
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    • v.9 no.4 s.35
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    • pp.432-440
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    • 2006
  • Prior to the service evaluation, many kinds of its attributes must be identified on the basis of rational decision owing to complexity and ambiguity inherent in logistics service. there are so many evaluation methods but they are not applicable to logistics service the have property of non-additivity and overlapped attributes. Therefore, probability measure can not used to evaluate logistics service but Fuzzy Measure is required. And the method should be easy to calculate it Recently Fuzzy theory has been applied in Various evaluation problem. Fuzzy evaluation based on Fuzzy theory can accommodate fuzziness in judgement with people through introducing Fuzzy Measure. In this paper, Hierarchical Fuzzy Process is applied to evaluate level of logistics service in Korail and the biggest six logistics companies in the korea which is called 3PL Company. Also Fuzzy Relation Equation which is problem identifying evaluation value at these fuzzy evaluation is applied to verify relation between Input and Output data through @-operation. Therefore, we apply this Fuzzy Relation Equation to Hierarchical Fuzzy Process and verify evaluation value which objects of evaluation are able to possess.

On the Fuzzy Approach to Integrated Evaluation of Complex Systems (퍼지 평가의 통합특성에 관하여)

  • 이철영;임봉택
    • Journal of Korean Port Research
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    • v.13 no.1
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    • pp.79-86
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    • 1999
  • This paper deals with the evaluation problem of complex systems by introducing a fuzzy approach. The authors are functionally supposing a hierarchical structure model of a complex system and give light on the following problems. First for the purpose of clarifying the characteristics of measures the property and differences between two method such as linear and fuzzy viewpoint are discussed through two level-down evaluation process. Second the integrated evaluation process which keeps reversibility between hierarchical levels is discussed and obtained some necessary conditions for reversibility of fuzzy evaluation. From these results it is expected that the fuzzy approach overcomes partly the limitation of reductionism at the hierarchical evaluation of complex systems.

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A Study on the Selection of the Administration System for Busan New Port using the Hierarchical Fuzzy Process (계층퍼지분석법을 이용한 부산신항만의 항만관리 방안에 관한 연구)

  • Kim, Sung-Kuk
    • Journal of Navigation and Port Research
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    • v.27 no.5
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    • pp.547-555
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    • 2003
  • A Port Authority system has been regarded as one of the efficient ways of port management. The Korean government is thus now planning to set up such a system into the Busan Port. Busan New Port is located in Kadok Island but divided Busan and Kyongnam administrative district, so complicated in the appropriate selection to Busan New Port Administration. The research method which was used in this study accounted for overlapping between attributes, and introduced the HFP( Hierarchical Fuzzy Process) method that can perform an operation.

A development of input and output interfaces for fuzzy hierarchical analysis

  • Kwack, H.Y.;Lee, S.D.;Son, I.M.
    • Proceedings of the ESK Conference
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    • 1996.10a
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    • pp.181-184
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    • 1996
  • Fuzzy hierarchical analysis(FHA) has the usefulness to allow decision maker's ambiguities when comparing two alternatives. But, for easiuly appling it to a decision problem, the handling its many data and for decision makers much not knowing fuzzy theory are the obstacles to must be overcomed even if the results of final fuzzy weights can be computed by a personal computer. This paper decribes that FHA is revised, and input/output interfaces are developed to collect input data easily and interprete the fuzzy resultlts. Finally, a fuzzy decision process is suggested with them.

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A Nutrition Status Analysis System Based on Hierarchical Fuzzy Inference Approach (계층적인 퍼지추론 기법을 기반으로 한 영양상태 분석시스템)

  • Son, Chang-S.;Jeong, Gu-Beom
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.6
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    • pp.731-737
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    • 2007
  • In this paper, we propose a system for analyzing nutrition status based on hierarchical fuzzy inference approach, where the hierarchical fuzzy approach used to analyze the transition process on the nutritional status from an obesity degree, the previous nutritional status, and the eating pattern with an individual. Moreover we discussed about the selection method of fuzzy membership intervals of the next layer to improve the reliability of inference results in hierarchical fuzzy system, where their intervals are modified by using statistical information of the defuzzified results obtained from the previous layer. To show the effectiveness of this system, we evaluated the nutritional status from the information of anthropometric measurement, biochemical test, and INQ on 113 people over the age of 65, and also analyzed their nutritional status.

On Evaluation Algorithm for Hierarchical Structure of Attributes with Interaction Relationship (상호연관성을 지닌 계층구조형문제의 평가 알고리즘)

  • Lee C.Y.;Lee S.T.
    • Journal of Korean Port Research
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    • v.7 no.1
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    • pp.5-12
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    • 1993
  • In complex decision making such as ill-defined system, one of the main problem is how to treat ambiguous aspect of the decision making. According to the complexity and ambiguity of the objective systems, many types of evaluation attributes are necessary for the rational decision and the relationship among the attributes become complex and fuzzy. Fuzzy integral is very effective to evalute the complex system with interaction between attributes but how to save the evaluation efforts in the decision making process of grading the membership of the objects or alternative is the problem to be tackled. Because the more object there are to evaluate, the number of decisions to made increase exponentially. Therefore, this paper aimes to propose a new evaluation algorithm based on fuzzy integral which can save the evaluator's efforts in decision making process. The proposed algorithm is constructed as follows : First, compose the fuzzy measure by introducing AHP(Analytical Hierachy Process) & mutual interaction coefficient. Second, generate fuzzy measure value of monotone family set for calculating the fuzzy integral. The effectiveness of the proposed algorithm is investigated through the example and sensitivity of interaction coefficient is illustrated.

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Development of a Knowledge Discovery System using Hierarchical Self-Organizing Map and Fuzzy Rule Generation

  • Koo, Taehoon;Rhee, Jongtae
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.431-434
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    • 2001
  • Knowledge discovery in databases(KDD) is the process for extracting valid, novel, potentially useful and understandable knowledge form real data. There are many academic and industrial activities with new technologies and application areas. Particularly, data mining is the core step in the KDD process, consisting of many algorithms to perform clustering, pattern recognition and rule induction functions. The main goal of these algorithms is prediction and description. Prediction means the assessment of unknown variables. Description is concerned with providing understandable results in a compatible format to human users. We introduce an efficient data mining algorithm considering predictive and descriptive capability. Reasonable pattern is derived from real world data by a revised neural network model and a proposed fuzzy rule extraction technique is applied to obtain understandable knowledge. The proposed neural network model is a hierarchical self-organizing system. The rule base is compatible to decision makers perception because the generated fuzzy rule set reflects the human information process. Results from real world application are analyzed to evaluate the system\`s performance.

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The Study of Criteria Weight for Taiwan National Quality Award by Fuzzy Hierarchical Analysis

  • Li, Shao-Chang;Fu, Hsin-Pin
    • International Journal of Quality Innovation
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    • v.7 no.2
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    • pp.83-96
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    • 2006
  • In this paper, fuzzy hierarchical analysis (FHA) is used to explore the process by which the criteria weights of the Taiwan National Quality Award (TNQA) are assigned by TNQA committee members. Each member is allowed to employ fuzzy scales in place of exact scales. Each pairwise comparison of criteria is made through a questionnaire from each TNQA committee member. The membership function of trapezoidal fuzzy numbers is introduced to specify TNQA committee members' intentions. After FHA, the reasonable range of each criterion weight of TNQA is determined. The current criteria weights of TNQA are properly verified.

Relative priority evaluation of security attributes in cloud computing using fuzzy AHP (Fuzzy AHP를 적용한 클라우드 컴퓨팅 환경에서 보안 속성의 상대적 중요도 평가)

  • Choi, Cheol-Rim;Song, Young-Jae
    • Journal of Advanced Navigation Technology
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    • v.15 no.6
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    • pp.1098-1103
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    • 2011
  • In spite of many advantages of cloud computing, security concerns are a barrier in users' adopting the cloud service. In this paper, we evaluate relative priorities between security attributes of ISO 7498-2 standards affecting overall security quality in cloud computing. For an objective evaluation, the fuzzy AHP(Analytic hierarchical process) is applied. The evaluation results represented the relative priority with concrete number can be an effective management method to choose and develop the cloud computing service.