• Title, Summary, Keyword: TOPSIS

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Fuzzy TOPSIS Approach to Flood Vulnerability Assessment in Korea (우리나라 홍수 취약성 평가를 위한 Fuzzy TOPSIS 접근법)

  • Kim, Yeong-Kyu;Chung, Eun-Sung;Lee, Kil-Seong
    • Journal of Korea Water Resources Association
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    • v.45 no.9
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    • pp.901-913
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    • 2012
  • This study will be a new attempt to quantify flood vulnerability taking into account uncertainty. Information obtained from the real world has lots of uncertainties. Therefore, this study developed an approach to quantify spatial flood vulnerability of Korea using Fuzzy TOPSIS approach. Also, Fuzzy TOPSIS were compared with TOPSIS and weighted sum method. As a result, rankings of some areas were changed dramatically due to the uncertainty. Spearman rank correlation analysis indicated that the rankings of TOPSIS and weighted sum method were almost similar, but quite different from ranking of Fuzzy TOPSIS. In other words, because applying Fuzzy concept in regional vulnerability assessment may cause a significant change in priorities, the model presented in this study may be a method of vulnerability assessment.

MCDM Approach for Flood Vulnerability Assessment using TOPSIS Method with α Cut Level Sets (α-cut Fuzzy TOPSIS 기법을 적용한 다기준 홍수취약성 평가)

  • Lee, Gyumin;Chung, Eun-Sung;Jun, Kyung Soo
    • Journal of Korea Water Resources Association
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    • v.46 no.10
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    • pp.977-987
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    • 2013
  • This study aims to develop a multiple criteria decision making (MCDM) approach for flood vulnerability assessment which considers uncertainty. The flood vulnerability assessment procedure consists of three steps: (1) use the Delphi process to determine the criteria and their corresponding weights-the adopted criteria represent the social, economic, and environmental circumstances related to floods, (2) construct a fuzzy data matrix for the flood vulnerability criteria using fuzzification and standardization, and (3) set priorities based on the number of assessed vulnerabilities. This study uses a modified fuzzy TOPSIS method based on ${\alpha}$-level sets which considers various uncertainties related to weight derivation and crisp data aggregation. Further, Spearman's rank correlation analysis is used to compare the rankings obtained using the proposed method with those obtained using fuzzy TOPSIS with fuzzy data, TOPSIS, and WSM methods with crisp data. The fuzzy TOPSIS method based on ${\alpha}$-cut level sets is found to have a higher correlation rate than the other methods, and thus, it can reduce the difference of the rankings which uses crisp and fuzzy data. Thus, the proposed flood vulnerability assessment method can effectively support flood management policies.

Disaster Recovery Priority Decision for Credit Bureau Business Information System: Fuzzy-TOPSIS Approach (신용조회업무 정보시스템의 재난복구 우선순위결정: 퍼지 TOPSIS 접근방법)

  • Yang, Dong-Gu;Kim, Ki-Yoon
    • Management & Information Systems Review
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    • v.35 no.3
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    • pp.173-193
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    • 2016
  • The aim of this paper is to extend the TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) to the fuzzy environment for solving the disaster recovery priority decision problem in credit bureau business information system. In this paper, the rating of each information systems and the weight of each criterion are described by linguistic terms which can be expressed in trapezoidal fuzzy numbers. Then, a vertex method is proposed to calculate the distance between two trapezoidal fuzzy numbers. According to the concept of the TOPSIS, a closeness coefficient is defined to determine the ranking order of all information systems. The combination between the fuzzy set and TOPSIS brings several benefits when compared with other approaches, such that the fuzzy TOPSIS require few fuzzy judgements to parameterization, which contributes to the agility of the decision process, it does not limit the number of alternatives simultaneously evaluated, and it does not cause the ranking reversal problem when a new alternative is included in the evaluation process. This paper is demonstrated with a real case study of a credit rating agency involving 9 evaluation criteria and 9 credit bureau business information systems assessed by 6 evaluators, and provide the systematic disaster recovery framework for BCP(Business Continuity Planning) to practitioner. Finally, this paper show that the procedure of the proposed fuzzy TOPSIS method is well suited as a decision-making tool for the disaster recovery priority decision problem in credit bureau business information system.

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TOPSIS-Based Multi-Objective Shape Optimization for a CRT Funnel (TOPSIS 를 적용한 CRT 후면유리의 다중목적 형상최적설계)

  • Lee, Kwang-Ki;Han, Jeong-Woo;Han, Seung-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.7
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    • pp.729-736
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    • 2011
  • The technique for order preference by similarity to ideal solution (TOPSIS) is regarded as a classical method of multiple attribute decision making (MADM), often used to solve various decision-making or selection problems. It is based on the concept that the chosen alternative should have the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution. The TOPSIS can be applied to a design process for carrying out multi-objective shape optimization wherein the best and worst alternatives are to be decided. In this paper, multi-objective shape optimization using the TOPSIS and Rational Bezier curve was applied to the funnel of a cathode-ray tube (CRT). In order to minimize the weight and first principal stress, a new multi-objective shape optimization methodology is proposed, wherein the relative-closeness coefficients of the TOPSIS are defined as the performance indices of a multi-objective function and evaluated by response surface models. This methodology enables the designer to decide on the best solution from a number of design specification groups by examining the various conflicts between the weight and the first principal stress.

Priority Evaluation of Preliminary Cases for IMO Information Management System using Fuzzy TOPSIS and AHP (퍼지 TOPSIS&AHP를 이용한 IMO 정보관리시스템 예비과제 우선순위 평가)

  • Jang, Woon-Jae
    • Journal of Navigation and Port Research
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    • v.37 no.5
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    • pp.493-498
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    • 2013
  • This paper is aimed to priority evaluation of preliminary cases for IMO -IMS(International Maritime Organization- Information Management System) using fuzzy TOPSIS(Technique for Order Performance by Similarity to Ideal Solution) and AHP(Analytic Hierarchy Process). To this solve, therefore, this paper extract 24 preliminary cases and select 4 major preliminary alternative cases after analysing the structure of its alternative cases using FSM(Fuzzy Structure Modeling). Also, the weights of evaluation factors determine using AHP which able to keep the consistency when decision-makers assess. In AHP method, but, the numbers of paired comparison incerase as much as the numbers of the comparison items increase and because this evaluation have the many of vagueness, the decision of final ranking is used to fuzzy TOPSIS method which is included TOPSIS and Fuzzy Set Theory. The result are developed as order as Management of IMO Convention Information, Delivery of IMO Convention Information, Total IMO Database, Knowledge Hub of IMO Convention Information in IMO-IMS.

Group Decision Making for New Professor Selection Using Fuzzy TOPSIS (퍼지 TOPSIS를 이용한 신임교수선택을 위한 집단의사결정)

  • Kim, Ki-Yoon;Yang, Dong-Gu
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.229-239
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    • 2016
  • The aim of this paper is to extend the TOPSIS(Technique for Order Performance by Similarity to Ideal Solution) to the fuzzy environment for solving the new professor selection problem in a university. In order to achieve the goal, the rating of each candidate and the weight of each criterion are described by linguistic terms which can be expressed in trapezoidal fuzzy numbers. In this paper, a vertex method is proposed to calculate the distance between two trapezoidal fuzzy numbers. According to the concept of the TOPSIS, a closeness coefficient is defined to determine the ranking order of all candidates. This research derived; 1) 4 evaluation criteria(research results, education and research competency, personality, major suitability) for new professor selection, 2) the 5 step procedure of the proposed fuzzy TOPSIS method for the group decision, 3) priorities of 4 candidates in the new professor selection case. The results of this paper will be useful to practical expert who is interested in analyzing fuzzy data and its multi-criteria decision-making tool for personal selection problem in personal management. Finally, the theoretical and practical implications of the findings were discussed and the directions for future research were suggested.

Disaster Recovery Priority Decision of Total Information System for Port Logistics : Fuzzy TOPSIS Approach (항만물류종합정보시스템의 재난복구 우선순위결정 : 퍼지 TOPSIS 접근방법)

  • Kim, Ki-Yoon;Kim, Do-Hyeong
    • Journal of Information Technology Services
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    • v.11 no.3
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    • pp.1-16
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    • 2012
  • This paper is aimed to present a fuzzy decision-making approach to deal with disaster recovery priority decision problem in information system. We derive an evaluation approach based on TOPSIS(Technique for Order Performance by Similarity to Ideal Solution), to help disaster recovery priority decision of total information system for port logistics in a fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by trapezoidal fuzzy numbers. This study applies the fuzzy multi-criteria decision-making method to determine the importance weight of evaluation criteria and to synthesize the ratings of candidate disaster recovery system. Aggregated the evaluators' attitude toward preference, then TOPSIS is employed to obtain a crisp overall performance value for each alternative to make a final decision. This approach is demonstrated with a real case study involving 4 evaluation criteria(system dependence, RTO, loss, alternative business support), 7 information systems for port logistics assessed by 5 evaluators from Maritime Affairs and Port Office.

A Study on Optimal Site Selection for the Artificial Recharge System Installation Using TOPSIS Algorithm

  • Lee, Jae One;Seo, Minho
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.2
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    • pp.161-169
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    • 2016
  • This paper is intended to propose a novel approach to select an optimal site for a small-scaled artificial recharge system installation using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) with geospatial data. TOPSIS is a MCDM (Multi-Criteria Decision Making) method to choose the preferred one of derived alternatives by calculating the relative closeness to an ideal solution. For applying TOPSIS, in the first, the topographic shape representing optimal recovery efficiency is defined based on a hydraulic model experiment, and then an appropriate surface slope is determined for the security of a self-purification capability with DEM (Digital Elevation Model). In the second phase, the candidate areas are extracted from an alluvial map through a morphology operation, because local alluvium with a lengthy and narrow shape could be satisfied with a primary condition for the optimal site. Thirdly, a shape file over all candidate areas was generated and criteria and their values were assigned according to hydrogeologic attributes. Finally, TOPSIS algorithm was applied to a shape file to place the order preference of candidate sites.

A TOPSIS-based Approach to Evaluating the University's Department Homepages for Operational Management Purposes (TOPSIS 기반 대학 학과 홈페이지 운영관리 평가방안)

  • Jeong, Gi-Ho
    • Journal of Convergence for Information Technology
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    • v.9 no.9
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    • pp.126-132
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    • 2019
  • This study presents a TOPSIS-based application for the evaluation of administrative purposes on the website of university's departments. As the school age population decreases, the homepage of the university's departments also has important promotional means. However, most of them are not well managed until a full renewal. This is because the investment is difficult compared to strategic importance. Therefore, this paper tries to show its usefulness by applying a partially modified TOPSIS for management purposes, in consideration of the practicality. TOPSIS is appropriate for target management as a conceptual reason to prioritize based on the distance from the ideal target for each criterion. Also, in the case of monotonic functions of the evaluation criteria used, the same results can be obtained by reducing the amount of calculations through a partially modified procedure as presented in this study.

Stock Investment of Agriculture Companies in the Vietnam Stock Exchange Market: An AHP Integrated with GRA-TOPSIS-MOORA Approaches

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;KUMAR G, Venkata Ajay;HU, Yi-Chung
    • The Journal of Asian Finance, Economics, and Business
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    • v.7 no.7
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    • pp.113-121
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    • 2020
  • Multi-criteria stock selection is a critical issue for effective investment since the improper stock investment might cause many problems affecting investors negatively. Investors need a range of financial indicators while they are choosing the optimal set of stocks to invest. This study aims to rank the stock of agriculture companies indexed on the Vietnam Stock Exchange Market. The data of 13 agriculture companies during the 2016-2019 periods was analyzed by analytical hierarchy process (AHP) integrated with grey relational analysis (GRA), multi-objective optimization ratio analysis (MOORA), and technique for order performance by similarity to ideal solution (TOPSIS). The AHP method is employed to determine the weights of the proposed financial ratios, and GRA, TOPSIS, and MOORA approaches are used to obtain final ranking. The results indicated that HSL is the top stock with the highest rank and GRA, MOORA, and TOPSIS rankings have strong correlation values between 0.78-1. The findings suggest that the integrated model could be implemented effectively to specific analysis of industries such as oil and gas, textiles, food, and electronics in future research. Further, other techniques like COPRAS, KEMIRA, and EDAS could be employed to evaluate the financial performance of other companies to solve investment problems.