Evaluating weapon system by Analytical Hierarchy Process based on fuzzy scales

Chen, Ching-Hsue; Mon, Don‐Lin

doi:10.1016/0165-0114(94)90140-6

Cited by 210 publications

(83 citation statements)

References 2 publications

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“…In short, fuzzy set theory offers a mathematically precise way of modeling vague preferences for example when it comes to setting weights of performance scores on criteria. Simply stated, fuzzy set theory makes it possible to mathematically describe a statement like: "criterion X should have a weight of around 0.8" [28]. The main feature of this approach is that the imprecision inherent in the qualitative information can be formalized by applying fuzzy sets theory.…”

Section: Referencesmentioning

confidence: 99%

“…• Aggregation of market research data Cheng and Mon [28] propose a new algorithm for evaluating weapon systems by the Analytical Hierarchy Process (AHP) based on fuzzy scales. There are two basic problems in weapon system evaluation: the objectives of the evaluations are generally multiple and generally in conflict, and the descriptions of the weapon systems are usually linguistic and vague.…”

Section: Practical Applicationsmentioning

confidence: 99%

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Fuzzy multiple criteria decision making: Recent developments

Carlsson

Fuller

1996

Fuzzy Sets and Systems

408

129

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Multiple Criteria Decision Making (MCDM) shows signs of becoming a maturing field. There are four quite distinct families of methods: (i) the outranking, (ii) the value and utility theory based, (iii) the multiple objective programming, and (iv) group decision and negotiation theory based methods. Fuzzy MCDM has basically been developed along the same lines, although with the help of fuzzy set theory a number of innovations have been made possible; the most important methods are reviewed and a novel approach -interdependence in MCDM -is introduced.

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Section: Referencesmentioning

confidence: 99%

Section: Practical Applicationsmentioning

confidence: 99%

Fuzzy multiple criteria decision making: Recent developments

Carlsson

Fuller

1996

Fuzzy Sets and Systems

408

129

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“…There are several approaches for deriving priorities from fuzzy pair-wise comparison matrices. Logarithmic least squares method (Van Laarhoven and Pedrycz, 1983), geometric mean method (Buckley, 1985), interval arithmetic (Cheng and Mon, 1994), synthetic extent analysis (Chang, 1996), fuzzy least squares method (Xu, 2000) and fuzzy preference programming (Mikhailov, 2003) are some notable techniques of prioritization. For our prioritization problem, we selected Chang's synthetic extent analysis approach which is an ingenious technique and well suited for studying with triangular fuzzy numbers.…”

Section: Preliminariesmentioning

confidence: 99%

Prioritization of Revenue Management Factors: A Synthetic Extent Analysis Approach

Güler¹

2012

eab

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Purpose: This paper presents a novel approach for revealing the success factors of revenue management practices in hospitality industry. Our study aims to point out the favorably contributing 'ingredients' of a successful revenue management application. We investigate what revenue managers have learned from their past experience by using real empirical data and fuzzy synthetic evaluation procedure. Researchers and practitioners may regard this work as a functional benchmark analyzing a function (revenue management) which is widely used in those companies belongs to a particular industry (hospitality industry).Design/methodology/approach: Revenue managers' judgments about the underlying success factors are highly subjective and qualitative in nature. In order to capture this imprecision, we employed the fuzzy synthetic extent analysis and provided with a sensible prioritization of the success factors.Research limitations/implications: Employing fuzzy concepts within a prioritization procedure requires constructing a fuzzy linguistic variable set and as-signing a fuzzy conversion scale to it. Usually the implementation steps in fuzzy techniques are more cumbersome when compared to the conventional multi attribute techniques (i.e. conventional AHP).Originality/value: This paper discusses the prioritization of effective factors that concede to a successful revenue management application in hospitality industry with a synthetic extent analysis approach. This paper provides with a 'snapshot' of the current practice in the area and serves for researchers and practitioners.

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“…Even though these algorithms are simple, it is difficult to implement them especially when the problem scale is large. With the evolution of computer technology, some naive algorithms are proposed like analytical hierarchy process [6], network flow based methods [7], neural networks [8], genetic algorithms, tabu search, ant colony algorithm (ACO) and particle swarm optimization (PCO), very large scale neighborhood (VLSN), and maximum marginal return (MMR).…”

Section: Introductionmentioning

confidence: 99%

Weapon Target Assignment with Combinatorial Optimization Techniques

Tokgöz¹,

Bulkan²

2013

IJARAI

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Abstract-Weapon Target Assignment (WTA) is the assignment of friendly weapons to the hostile targets in order to protect friendly assets or destroy the hostile targets and considered as a NP-complete problem. Thus, it is very hard to solve it for real time or near-real time operational needs. In this study, genetic algorithm (GA), tabu search (TS), simulated annealing (SA) and Variable Neighborhood Search (VNS) combinatorial optimization techniques are applied to the WTA problem and their results are compared with each other and also with the optimized GAMS solutions. Algorithms are tested on the large scale problem instances. It is found that all the algorithms effectively converge to the near global optimum point(s) (a good quality) and the efficiency of the solutions (speed of solution) might be improved according to the operational needs. VNS and SA solution qualities are better than both GA and TS.

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Evaluating weapon system by Analytical Hierarchy Process based on fuzzy scales

Cited by 210 publications

References 2 publications

Fuzzy multiple criteria decision making: Recent developments

Fuzzy multiple criteria decision making: Recent developments

Prioritization of Revenue Management Factors: A Synthetic Extent Analysis Approach

Weapon Target Assignment with Combinatorial Optimization Techniques

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