• 제목/요약/키워드: Fuzzy Analytical Hierarchy Process(AHP)

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Fuzzy AHP를 이용한 유비쿼터스 서비스 평가 프레임워크 (A Framework for Evaluating Ubiquitous Services using Fuzzy AHP)

  • 김수연;황현석
    • 한국산업정보학회논문지
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    • 제13권5호
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    • pp.158-167
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    • 2008
  • 최근 정보기술의 발달로 유비쿼터스 컴퓨팅과 이를 이용한 유비쿼터스 서비스가 개발 중이거나 서비스 중이다. 향후 많은 산업에서 유비쿼터스 서비스 활용이 증가할수록 서비스에 대한 평가가 필수적이라 하겠다. 본 연구에서는 유비쿼터스 서비스의 평가를 위한 구체적인 평가항목을 도출하고 이들 간의 중요도를 산출하는 프레임워크를 제시하고자 한다. 이를 위하여 유비쿼터스 서비스의 평가와 관련된 문헌을 고찰하고 전문가의 의견을 수합하여 주요 평가항목의 결정과 계층적 분석과정 기법을 이용하여 항목간의 중요도를 산출하고자 하였다. 평가자 평가결과의 정확성을 보정하기 위해 퍼지(fuzzy) 개념을 활용하여 중요도를 계산하였으며 설문을 통하여 실제 특정 분야에서 유비쿼터스 서비스를 평가하기 위한 항목의 중요도를 도출하였다.

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Critical Success Factors of TQM Implementation in Vietnamese Supporting Industries

  • TRANG, Tran Van;DO, Quang Hung
    • The Journal of Asian Finance, Economics and Business
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    • 제7권7호
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    • pp.391-401
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    • 2020
  • The objective of this study is to prioritize the Total Quality Management (TQM) factors based on fuzzy Analytical Hierarchy Process (AHP) method in Vietnamese supporting industries. Through an in-depth literature review, eight criteria were identified. These criteria were then divided into 32 sub-criteria. The fuzzy AHP is used to determine the percent weightings of eight categories of performance criteria that were identified via a review of the quality-management literature. These criteria include management commitment, role of the quality department, training and education, continuous improvement, quality policies, quality data and reporting, communication to improve quality, and customer satisfaction orientation. An empirical analysis of the criteria of each stage using the fuzzy AHP methodology and the expert opinion of quality management are used to evaluate the percent weightings of the criteria and sub-criteria that are synonymous with TQM implementation. The results showed that management commitment is the most critical factor; among sub-criteria, supports and responsibilities of top management is the most important. The study also identified the rank order of critical success factors of TQM. The findings suggest a generic hierarchy model for organizations to prioritize the critical factors and formulate strategies for implementing TQM in supporting industries, as well as other industries in Vietnam.

A Fuzzy AHP Model for Selection of Consultant Contractor in Bidding Phase in Vietnam

  • Ha, Tran Thanh;Hoai, Long Le;Lee, Young Dai
    • Journal of Construction Engineering and Project Management
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    • 제5권2호
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    • pp.35-43
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    • 2015
  • Project Management Consultant (PMC) plays a vital role in the overall performance of any project. Selecting right PMC for right project is the most crucial challenge for any construction owner. Thus, PMC selection is one of the main decisions made by owners at the early phase of construction project. It is not easy for the project owner to select a competent PMC due to the fuzziness, imprecision, vagueness, incomplete and qualitative criteria of the decision. This paper presents a model for selecting PMC contractor using the Fuzzy Analytical Hierarchy Process (FAHP). And a fuzzy number based framework is proposed to be a viable method for PMC contractor selection. A case study to illustrate the application of the model is also presented in this paper.

Fuzzy Analytic Hierarchy Process for the Evaluation of Old Dwelling Façade Design Factor

  • Park, Jin-A
    • 감성과학
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    • 제16권3호
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    • pp.333-340
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    • 2013
  • 생활양식이나 형태 변화에 따른 전통적인 주거건축들의 전통성, 공공성과 사유권의 균형, 계승 발전, 보존에 부가되는 공동체의 활성화와 효용성 등 환경 개선이라는 과제에 직면하고 있으며, 이들 역사 경관 권역의 경관훼손 가능성이 점증하고 있는 상황에서, 지역적 경관의 고유한 특성과 다양성을 가질 수 있도록 전통적 주거건축의 입면디자인 속성에 대한 이해가 선행되어야 한다. 본 연구는 "전통적 주거건축의 입면디자인 평가"에 영향을 미친 속성을 파악하기 위해, 입면디자인 평가척도 (지붕, 창호, 기둥, 벽면, 마루, 주초석, 기단)를 기준으로 쌍대비교를 실시하여 도출된 Synthetic Evaluation Value를 Fuzzy 방법을 통해 Fuzzy Integral (Choquet Integral) value를 추정하여, 가치속성을 규명하였다. 속성 간 가중치 산정결과에 ${\lambda}$-value를 이용하여 Sensitivity Analysis를 실시하여 유효함을 검증하였다. 전통적 주거건축의 입면디자인 평가에 영향을 미친 가치속성을 추정하는데 있어 유의미한 방법론이며, 복합 가치속성을 도출하였다는데 의의를 갖는다.

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퍼지 적분을 도입한 계증구조 평가 알고리즘 (On the Evaluation Algrithm of Hierarchical Process using $\lambda$-Fuzzy Integral)

  • 여기태;노홍승;이철영
    • 해양환경안전학회지
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    • 제2권1호
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    • pp.97-106
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    • 1996
  • One of the main problems in evaluating complex objects, such as an ill-defined system, is how to treat ambiguous aspect of the evaluation. Due to the Complexity and ambiguity of the objects, many types of evaluation attributes should be identified based on the rational dsision. One of these attributes is an analytical hierarchy process (AHP). the weight of evaluation attribtes in AHP however comes from the probability measure based on the additivity. Therefore, it is notapplicable to the objects which have the property of non-additivity. In the previous studies by other researchers they intriduced the Hierarchical Fuzzy Integral method or mergd AHP and fuzzy measure for the analysis of the overlaps among the evaluation objects. But, they need more anlyses in terms of transformation of the probability measure into fuzzy measure which fits for the additivity and overlapping coefficient which affects to the fuzzy measure. Considering these matters, this paper deals that, ⅰ) clarifying the relation between the fuzzy and probability measure adopted in AHP, ii) calculating directly the family of fuzzy measure from the overlapping coefficient and probability measure. A simple algorithm for the calculation of fuzzy measures and set family of those from the above results is also proposed. Finally, the effectiveness of the algorithm developed by applying this to the problems for estimation of safety in ship berthing and for evaluation of ports in competition is verified. This implied that the new algoritnm gives better description of the system evaluation.

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Fuzzy AHP Approach to TQM Strategy Evaluation

  • Tseng, Ming-Lang;Lin, Yuan-Hsu;Chiu, Anthony SF;Chen, Chia Yi
    • Industrial Engineering and Management Systems
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    • 제7권1호
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    • pp.34-43
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    • 2008
  • In recent years, many electronics producing firms have looked upon total quality management (TQM) strategy as a means by which they could maintain competitive advantage. This empirical research evaluates TQM strategic factors in order to determine the critical success factors in environmental uncertainty. Fuzzy analytic hierarchy process (FAHP) is the proposed research methodology to discuss and tackle the different decision criteria like effective leadership, people management, customer focus, strategic plan and process management, being involved in identifying the TQM strategic critical success factors with uncertainty. The result shows that effective leadership is the most critical success factor in TQM strategy.

그룹 Fuzzy AHP와 GRA를 이용한 식스시그마 프로젝트 선정방안 (Project Selection of Six Sigma Using Group Fuzzy AHP and GRA)

  • 유정상;최성운
    • 한국융합학회논문지
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    • 제10권11호
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    • pp.149-159
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    • 2019
  • 식스시그마는 시장과 고객의 패러다임과 트렌드의 변화에 맞추어 모든 사업의 프로세스와 전략을 개선하는 경영 혁신운동이다. 식스시그마 프로젝트 선정에 관한 기존의 연구는 있으나 불완전한 정보환경 하에서 프로젝트 선정을 위한 연구는 거의 없다. 본 연구의 목적은 불완전한 정보 하에서 올바른 프로젝트 선정을 위해 통합 MCDM 기법을 적용 방법을 제안하는 것이다. 식스시그마 프로젝트 선정을 위해 4단계인 1) 평가기준 간 가중치 결정 2) 팀 멤버 간 전문역량의 상대적 중요도 결정 3) 프로젝트 선호도 척도 산정 4) 최종 프로젝트 우선순위 결정 등을 위해 그룹 Fuzzy AHP, 불완전한 정보환경 하에서의 비퍼지화 TrFN 변환, GRA의 통합기법을 제안하였다. 본 연구에서 제안한 식스시그마 프로젝트 선정단계의 적용방안에 대한 이해를 돕기 위해 수치예가 제시되었다.

정책목표와 연계한 전략적 R&D 투자재원배분 및 연구과제 선정방안연구 (A strategic R&D resource allocation and project selection based on R&D policy and objectives)

  • 서창교;박정우
    • 한국경영과학회지
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    • 제16권2호
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    • pp.61-61
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    • 1991
  • We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently

정책목표와 연계한 전략적 R&D 투자재원배분 및 연구과제 선정방안연구 (A strategic R&D resource allocation and project selection based on R&D policy and objectives.)

  • 서창교;박정우
    • 경영과학
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    • 제16권2호
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    • pp.61-77
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    • 1999
  • We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently.

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항만물류서비스의 평가에 관하여 (On the Evaluation of Physical Distribution Service in Ports)

    • 한국항만학회지
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    • 제10권2호
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    • pp.17-29
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    • 1996
  • It is required to consider pricing and non-pricing factors and external economy in order to achieve the objects of physical distribution system in a port. Recently, among the three factors, much attention has been paid to non-pricing factor in the system. Although physical distribution service in a port(PDSP)has been frequently mentioned in documents and literature related to port and shipping studies, few study on it has not been systematically and scientifically made due to the following problems; $\circ$ there are not proper criteria to evaluate level and quality of PDSP and as a result it is difficult to set up a unified standard for doing so. $\circ$ algorithms to evaluate problems with complex and ambiguous attributes and multiple levels in PDSP are not available. This thesis aims to establish a paradigm to evaluate PDSP and to abvance existing decision making methods to deal with complex and ambiguous problems in PDSP. To tackle the first purpose, extensive and thorough literature survey was carried out on general physical distribution service, which is a corner stone to handle PDSp. In addition, through interviews and questionnaire to the expert, it have extracted 82 factors of physical distribution service in a port. They have been classified into 6 groups by KJ method and each group defined by the expert's advice as follows; a. Potentiality b. Exactness c. safety d. Speediness e. Convenience f. Linkage 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 PDSP. An analytical hierarchy process (AHP) is a method to evaluate them but it is not applicable to PDSP that have property of non-additivity and overlapped attributes. Therefore, probablility measure can not be used to evaluate PDSP but fuzzy measure is required. Hierarchical fuzzy integral method, which is merged AHP with fuzzy measure, is also not effective method to evaluate attributes because it has vary complicated way to calculate fuzzy measure identification coefficient of attributes. A new evaluation algorithm has been introduced to solve problems with multi-attribute and multi-level hierarchy, which is called hierarchy fuzzy process(HFP).Analysis on ambiguous aspects of PDSP under study which is not easy to be defined is prerequisite to evaluate it. HFP is different from algorithm existed in that it clarified the relationship between fuzzy measure and probability measure adopted in AHP and that it directly calculates the family of fuzzy measure from overlapping coefficient and probability measure to treat and evaluate ambiguous and complex aspects of PDSP. A new evaluation algorithm HFP was applied to evaluate level of physical distribution service in the biggest twenty container port in the world. The ranks of the ports are as follows; 1. Rotterdam Port, 2. Hamburg Port, 3. Singapore Port, 4. Seattle Port, 5. Yokohama Port, 6. Long beach Port, 7. Oakland Port, 8. Tokyo Port, 9. Hongkong Port, 10. Kobe Port, 11. Los Angeles Port, 12. New york Port, 13. Antwerp Port, 14. Felixstowe Port, 15. Bremerhaven Port, 16. Le'Havre Port, 17. Kaoshung Port, 18. Killung Port, 19. Bangkok Port, 20. Pusan Port

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