Application of Fuzzy Multi-criteria Decision Making Techniques for Robust Prioritization

Han, Bong Gu; Chung, Eun Sung

doi:10.12652/ksce.2013.33.3.917

Cited by 6 publications

(2 citation statements)

References 25 publications

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“…In a research by Han and Chung [12] in 2013, they expanded methodologies used by the above researches, and tested the validity of MCDM method as a methodology for robust decision making based on the results of a comparison with TOPSIS and AHP through the matter of water resource plan establishment. In that research, a fuzzy MDCM method, which can consider the uncertainty of weights in the prioritization of business, minimizes the variability of priority and so turns out most appropriate for robust prioritization.…”

Section: Previous Researches On Mcdm and Gis-based Decision Making Prmentioning

confidence: 99%

UI proposal using modified diamond pairwise comparison diagram for fuzzy integral-based GIS–MCDM

Yoo

Kim

2016

Spat. Inf. Res.

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GIS-based data fusion is now considered as a common methodology for selecting appropriate sites to locate government or company sites. Due to the success of GIS-based approaches, its UI system becomes very important in service promotion aspects. In particular, UI system presented to general public has to be intuitive and effective to cope with multi-criteria decision making problems (MCDM) which become majority in GIS-based selection problems. In this paper, based on the fuzzy measure and fuzzy integral method for dealing with GIS-MCDM problems, an intuitive UI system for GIS-MCDM is proposed by modifying conventional UI using diamond pairwise comparison diagram focusing on using the easyto-understand terms and coinciding appropriate meaningful directions with human's intuitive understanding. In addition, strategy for applying the fuzzy measure and fuzzy integral method along with the proposed UI system upon the public service is also described considering the distributional aspects of computational burden to process data fusion calculation efficiently.

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Section: Previous Researches On Mcdm and Gis-based Decision Making Prmentioning

confidence: 99%

UI proposal using modified diamond pairwise comparison diagram for fuzzy integral-based GIS–MCDM

Yoo

Kim

2016

Spat. Inf. Res.

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“…한 적정 시기(약 계층적 분석모형은 다수 요인을 고려해야 하는 의사결정 문제의 해결 방법의 하나이다. AHP는 의사결정 대안과 평가 기준이 다수인 상황에서 의사결정(Multiple Criteria Decision Making, MCDM) 을 지원하기 위해 개발된 평가기법으로 1980년대 초에 Saaty에 의해 제안된 후, 다양한 분야에서 활용되고 있다(Saaty, 1987;Han & Chung, 2013). 주요 의사결정이 필요한 사안에 AHP 기법을 적 용하면, 의사결정에 영향을 미치는 평가요인 중 각 두 요인 간 상대적 중요도 비교⋅측정을 통해 전체적인 평가요인별 상대적 가중치를 도출할 수 있다(Maowei, Zhou, & Lee, 2022).…”

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A study on the differences in the perceived importance of jet fighter performance improvement factors

Cho,

Min,

Lim

et al. 2023

J. Adv. Mil. Stud.

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The rapid advancement in software-based technology has significantly shortened product life cycles, leading to the proliferation of new products. However, the high initial investment makes it practically impossible for armed forces to rapidly replace existing weapons systems with new ones due to technological obsolescence. A more realistic alternative is to focus on performance improvements (or weapon upgrades) in existing systems. The challenge lies in making the right upgrades with the right technology at the right cost and time given the limited defense budget. Unfortunately, weapons upgrade decisions have mostly been based on costs and politically considered budget allocations to different branches of the armed forces rather than by considering a comprehensive range of decision factors. In light of the escalating national security threats, it is necessary to maximize the cost-effectiveness of weapons upgrade projects and effectively address rising national security challenges. The objective of this study is to develop a performance improvement Decision Index that quantifies the opinions of field-operating experts. Field experts are believed to possess the necessary expertise to select the appropriate fighter types, technologies, and upgrade timings, making it beneficial to factor in their opinions to determine what, how, and when to upgrade. Specifically, this study aims to establish weighted values for major decision factors regarding fighter performance improvement programs in the Republic of Korea Air Force. To achieve this, we collected survey data from 134 active-duty pilots and maintenance, operations, and repair (MRO) personnel from major fighter wings of the Republic of Korea Air Force and analyzed the data using the Fuzzy-AHP (Analytical Hierarchy Process). The analysis results indicate that the highest weighted value is given to the “relative (fighter) performance”against hostile nations, followed by “operating rate,” “durability,” “performance improvement cycle,” and “budget.” Furthermore, this study identified perceptual differences among field experts—particularly between pilots and MRO personnel—regarding the importance of relative performance, budget, performance improvement intervals, and operating rates of different fighter types. The proposed performance improvement index aims to provide a quantitative tool that incorporates field experts’ opinions into the decision-making process to upgrade weapons, facilitating balanced decisions and departing from a policymaker-centered approach. This balanced approach to weapons upgrade decisions will contribute to maximizing cost-effectiveness and, eventually, enhancing combat readiness.

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Mapping flood vulnerability using an analytical hierarchy process (AHP) in the Metropolis of Mumbai

Mann,

Gupta

2023

Environ Monit Assess

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Application of Fuzzy Multi-criteria Decision Making Techniques for Robust Prioritization

Cited by 6 publications

References 25 publications

UI proposal using modified diamond pairwise comparison diagram for fuzzy integral-based GIS–MCDM

UI proposal using modified diamond pairwise comparison diagram for fuzzy integral-based GIS–MCDM

A study on the differences in the perceived importance of jet fighter performance improvement factors

Mapping flood vulnerability using an analytical hierarchy process (AHP) in the Metropolis of Mumbai

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