• Title/Summary/Keyword: FAHP

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Prioritization for Water Storage Increase of Agricultural Reservoir using FAHP Method (FAHP 기법에 의한 농업용저수지의 추가저수량 확보사업 우선순위 결정)

  • Choi, Eun Hyuk;Bae, Sang Soo;Jee, Hong Kee
    • Journal of Korea Water Resources Association
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    • v.46 no.2
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    • pp.171-182
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    • 2013
  • This paper presents the application of fuzzy set theory in multi criteria decision making (MCDM). FAHP (Fuzzy Analytic Hierarchy Process) method was used to rank alternatives to find the most reasonable and efficient way of agricultural reservoir water resources assessment. 6 criteria and 10 subcriteria had been identified and compared to secure agricultural water resources. Fuzzy numbers and linguistic variables were presented to address inherently uncertain or imprecise data. Comparison analysis of decision making method was also carried out to find a way of suitable decision making and validity of FAHP was discussed.

Technical Entrepreneurship Education Service Quality Evaluation System based on FAHP (FAHP에 기반을 둔 기술창업교육서비스품질 평가 시스템)

  • Joun, Hyang-Soon;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.509-516
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    • 2015
  • Intangibility, measurement difficulty and irreversibility, which are the characteristics of service, have such problems as obscurity and uncertainty in quality evaluation. Technical entrepreneurship education, a sort of public service, also contains such characteristics of service. To objectively evaluate the service quality of technical entrepreneurship education, this paper drew up factors as hierarchical structure, centered on FAHP technique, and conducted pre-processing, inputted those factors into triangular fuzzy number fuzzy judgement matrix, and calculated their weights. In this manner, this paper proposed a TESE system, through which an analysis can be conducted by drawing relative importance and priorities of the factors. The proposed system can efficiently evaluate the qualitative technical start-up education service quality factors quantitatively in the diversely changing technical start-up environment in view of the highest result quality (41%), which means performance in the relative importance of major factors. Namely, this paper confirmed that clear decision making can be made through an experiment.

A Comparison Study on Supplier and Green Supplier Selection Problems using Fuzzy AHP and BSC (Fuzzy AHP와 BSC를 이용한 공급자와 그린 공급자 선정 문제의 비교 연구)

  • Seo, Kwang-Kyu
    • Journal of the Korea Safety Management & Science
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    • v.13 no.4
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    • pp.117-124
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    • 2011
  • Supplier selection is one of the most important activities of a company. This importance is increased even more by new strategies in a supply chain, because of the key role suppliers perform in terms of quality, costs and services which affect the outcome in the buyer's company. In addition, green production has become an important issue for almost every manufacturer and will determine the sustainability of a manufacturer. Therefore a performance evaluation system for supplier and green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. Supplier and green supplier selection is a multiple criteria decision making problem in which the objectives are not equally important. In practice, vagueness and imprecision of the goals, constraints and parameters in these problems make the decision making complicated. The objective of this study is to construct a decision-making process using fuzzy analytic hierarchy process (FAHP) and balanced scorecard (BSC) for evaluating supplier and green suppliers in the manufacturing industry. The BSC concept is applied to define the hierarchy with four major perspectives and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is applied to facilitate the solving process. With the proposed approach, manufacturers can have a better understanding of the capabilities that supplier and green supplier must possess and can evaluate and select the most suitable supplier for cooperation.

A Combined Fuzzy AHP and BSC Model based Green Supplier Selection Problem (Fuzzy AHP와 BSC 결합모델기반의 Green Supplier 선정 문제)

  • Seo, Kwang-Kyu
    • Journal of the Korea Safety Management & Science
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    • v.13 no.3
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    • pp.63-69
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    • 2011
  • As environmental protection is becoming more and more important, green production has become a key issue for almost every manufacturer and will determine a manufacturer can be sustainable in the long term. Therefore a performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. The objective of this study is to construct a combined model based on fuzzy analytic hierarchy process (FAHP) and balanced scorecard (ESC) for evaluating green suppliers in the manufacturing industry. The ESC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth), and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is finally constructed to facilitate the solving process. With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.

An Effective Fuzzy Multi-Criteria Decision Making Methodology in the Intersectional Dependence Relations (교차종속관계하에서의 효율적인 퍼지 다기준의사결정법)

  • 심재홍;김정자
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.45
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    • pp.11-23
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    • 1998
  • This paper presents a more efficient evaluation of alternatives by use of multi-criteria decision making methodlogy under fuzzy intersectional dependence relations. The performance evaluation of most systems such as weapons, enterprise systems etc. are multiple criteria decision making problems. The descriptions and judgements on these systems are usually linguistic and fuzzy. The traditional methods of Analytic Hierarchy Process(AHP) are mainly used in crisp(non-fuzzy) decision applications with a very unbalanced scale of judgements and rank reversal. To overcome these problems, we will propose a new, general decision making method for evaluation models using fuzzy AHP(FAHP) under fuzzy intersectional dependence relations. The T.M.S alternatives A, B and C will be evaluted by the Fuzzy Analytic Hierachy Process (FAHP) based on entropy weight in this study. We will use symmetric triangular fuzzy numbers to indicate the relative strength of the elements in the hierachy and degree of intersection between criteria. These problems are evaluated by five criteria : tactical criteria, technology criteria, maintenance criteria, economy criteria, advacement criteria.

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Fuzzy Membership Functions and AHP-Based Negotiation Support in Electronic Commerce (퍼지 멤버십 함수와 AHP 추론기법을 이용한 전자상거래 협상지원)

  • Kim, Jin-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.4
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    • pp.347-352
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    • 2002
  • This paper propose the Fuzzy AHP(Analytic Hierarchical Process)-based negotiation support (FAHP-NEGO) mechanism to support the dynamic negotiation process in Electronic Commerce(EC). Negotiation is a form of decision-making with two or more actively involved agents who can not make decisions independently, and therefore must make concessions to achieve a compromise. Having concerned that point, the theoretical framework of FAHP-NEGO mechanism is presented by means of fuzzy membership functions and AHP. This mechanism encompasses both qualitative and quantitative conditions, and the use of multiple negotiation procedures for solving the electronic negotiation problem, adjusting the fuzzy membership function, and restructuring the problem representation. A hypothetical example of a healthcare products purchase is given to illustrate the quality of the proposed mechanism. The results showed that the Fuzzy AHP-based negotiation support mechanism could reflect both qualitative and quantitative conditions in EC. The implications of the study for future directions of research on electronic negotiation support modeling and systems are presented.

Risk assessment of karst collapse using an integrated fuzzy analytic hierarchy process and grey relational analysis model

  • Ding, Hanghang;Wu, Qiang;Zhao, Dekang;Mu, Wenping;Yu, Shuai
    • Geomechanics and Engineering
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    • v.18 no.5
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    • pp.515-525
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    • 2019
  • A karst collapse, as a natural hazard, is totally different to a normal collapse. In recent years, karst collapses have caused substantial economic losses and even threatened human safety. A risk assessment model for karst collapse was developed based on the fuzzy analytic hierarchy process (FAHP) and grey relational analysis (GRA), which is a simple and effective mathematical algorithm. An evaluation index played an important role in the process of completing the risk assessment model. In this study, the proposed model was applied to Jiaobai village in southwest China. First, the main controlling factors were summarized as an evaluation index of the model based on an investigation and statistical analysis of the natural formation law of karst collapse. Second, the FAHP was used to determine the relative weights and GRA was used to calculate the grey relational coefficient among the indices. Finally, the relational sequence of evaluation objects was established by calculating the grey weighted relational degree. According to the maximum relational rule, the greater the relational degree the better the relational degree with the hierarchy set. The results showed that the model accurately simulated the field condition. It is also demonstrated the contribution of various control factors to the process of karst collapse and the degree of collapse in the study area.

Influence of Major Urban Construction on Atmospheric Particulates and Emission Reduction Measures

  • Wang, Shunyi;Zhou, Ping;Lin, Limin;Liu, Chuankun;Huang, Tao
    • Asian Journal of Atmospheric Environment
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    • v.12 no.3
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    • pp.215-231
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    • 2018
  • In order to understand the variation of air quality and the concentration of atmospheric particulates in Chengdu Second Ring Road renovation project, this paper starts to investigate the surrounding residents' opinions on the influenced environment and their daily lives via questionnaires. Then the study numerically simulates the change rule of atmospheric particulates in terms of time and space by using the Gaussian dispersion-deposition model and the compartment model. The optimized scientific scheme is selected by the improved fuzzy analytical hierarchy process(FAHP) to help decision making for the future urban reconstructions. Finally, the reduced emissions of atmospheric particulates are measured when the improvement scheme is provided. According to the study, it can be concluded that the concentration of atmospheric particulates increases rapidly in central Chengdu city during the renovation project, which results in worsening air quality in Chengdu during March 2012 to March 2013. Taking related measures on energy saving and emission reduction can effectively reduce the concentration of atmospheric particulates and promote economic, environmental and social coordination.

A Fuzzy Analytic Hierarchy Process (FAHP) Based on SERVQUAL for Hotel Service Quality Management: Evidence from Vietnam

  • NGUYEN, Phi-Hung
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.1101-1109
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    • 2021
  • Nowadays, quality affects product or service performance and customer loyalty in the competitive business' environment. This is truly important when it comes to how the customer interprets the service's satisfaction and the judgment of the purchase process as a whole, in view of the fact that service quality is an abstract and elusive construction due to the three characteristics of services: intangibility, heterogeneity, and inseparability of output and consumption. The main purpose of this paper is to determine the hotel service quality using the Fuzzy Analytic Hierarchy Process (FAHP) and SERVQUAL method. In this study, a five-star hotel's real case is considered in evaluating the service quality criteria. The results revealed that Tangibles and Assurance are the most critical service quality criteria in the hotel industry. Accurate records, service consistency, Necessary arrangements for disabled people, Service flexibility to guests' demands, and Providing the services at the time it promises are the most influencing sub-criteria of service quality. These findings indicate that hotels should concentrate on sequentially and organized priority factors to enhance service quality. This method of service quality assessment may also aid in distinguishing between hotels. Finally, as a future direction, more additional parameters can be used as a potential guide in our proposed model for the dynamic decision-making approach.

A fuzzy multi-criteria decision making methodology for small and medium enterprises evaluation under intersectional dependence relations (교차종속관계하에서의 중소기업 평가를 위한 Fuzzy 다기준의사결정법)

  • 박영화;이상완
    • Korean Management Science Review
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    • v.14 no.1
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    • pp.11-29
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    • 1997
  • This paper presents the better efficient evaluation of the Small and Medium Enterprises by use of fuzzy multi-criteria decision making methodology under intersectional dependence relations. The five Small and Medium Enterprises alternative will be evaluated by Fuzzy Analytic Hierarchy Process(FAHP) based on entropy weight in this study. A case study is presented to illustrate the use of entropy weight measurement with intersectional dependence problems. These problems are evaluated seven criteria : market criteria, thchnology criteria, management ability criteria, planning criteria, propulsion ability criteria, project propulsion basis criteria, propulsion result criteria.

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