An efficient fuzzy weighted average algorithm for the military UAV selecting under group decision-making

Lin, Kuo-Ping; Hung, Kuo-Chen

doi:10.1016/j.knosys.2011.04.002

Cited by 52 publications

(13 citation statements)

References 34 publications

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“…Under the pluralistic and complicated social environment, the theories of MCDM have been rapidly developed and widely applied in various fields of engineering project [1][2][3][4], military affair [5][6][7], management [8][9][10][11] and so on. Considering the large application foreground of MCDM, many decision making methods have been proposed to deal with the MCDM problems, like TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) [12], ELECTRE (Elimination and Choice Expressing REality) [13], VIKOR (vlsekriterijumska optimizacija i kompromisno resenje in serbian, meaning multi-criteria optimization and compromise solution) [14], TODIM (an acronym in Portuguese for Interactive Multi-criteria Decision Making) [15], COPRAS (Complex Proportional Assessment) [16], etc.…”

Section: Introductionmentioning

confidence: 99%

A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China

Ren

Zhang

Liao

et al. 2017

Information Sciences

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Thermodynamics is of knowledge structure to depict the stability (or instability) of a system effectively. For the increasing complexity of the application problems and the fuzzy nature of human thought, intuitionistic fuzzy sets were proposed and have become a powerful tool to portray the uncertainty of things. In order to best utilize decision information to solve the multi-criteria decision making (MCDM) problems in an intuitionistic fuzzy environment, the paper proposes a thermodynamic method for MCDM with intuitionistic fuzzy numbers (IFNs), which not only utilizes the quantity of the decision information to make decision, but also concerns the quality of the decision information in the decision making process. Then, we conduct simulations to compare the decision making results derived by the proposed method and other two commonly used decision making methods -Weighted averaging operator (WAO) and TOPSIS in the intuitionistic fuzzy environment. Further, the thermodynamic method for MCDM with IFNs is applied to assist the hierarchical medical system in West China Hospital as a case study.* Corresponding author. E-mail addresses: renpeijia@outlook.com, xuzeshui@263.net, liaohuchang@163.com, x.zeng@manchester.ac.uk. 2The empirical results derived from the simulations and applications show: (1) If the optimal selections obtained from the proposed method and one of the two commonly used methods are same, then it is likely that the three decision making methods would obtain same results; (2) If the optimal selections by the three method are different, then it is often the cases where the selection by the proposed method is different from the two other methods whereas the selections by the two other methods are the same. The reason behind is the unique feature of the proposed method in which the quality of the decision making information is taken into consideration. These empirical studies demonstrate that the quality of the decision making information has significant impacts on the decision making results, which indicates that the proposed method is effective to be utilized in practical decision making problems.

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Section: Introductionmentioning

confidence: 99%

A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China

Ren

Zhang

Liao

et al. 2017

Information Sciences

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“…The FWA approach is a function of fuzzy numbers using interval arithmetic, which has proven useful for aggregation functions in management science and engineering. FWA has been applied in many decision-related fields, such as material substitution selection [21], location selection [22], flexible manufacturing system [23], military UAV selection [24], and office layouts [25]. However, the complexity of FWA increases exponentially with an increase in the number of criteria, which greatly limits its applicability.…”

Section: Introductionmentioning

confidence: 99%

Green Suppliers Performance Evaluation in Belt and Road Using Fuzzy Weighted Average with Social Media Information

et al. 2017

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A decision model for selecting a suitable supplier is a key to reducing the environmental impact in green supply chain management for high-tech companies. Traditional fuzzy weight average (FWA) adopts linguistic variable to determine weight by experts. However, the weights of FWA have not considered the public voice, meaning the viewpoints of consumers in green supply chain management. This paper focuses on developing a novel decision model for green supplier selection in the One Belt and One Road (OBOR) initiative through a fuzzy weighted average approach with social media. The proposed decision model uses the membership grade of the criteria and sub-criteria and its relative weights, which consider the volume of social media, to establish an analysis matrix of green supplier selection. Then, the proposed fuzzy weighted average approach is considered as an aggregating tool to calculate a synthetic score for each green supplier in the Belt and Road initiative. The final score of the green supplier is ordered by a non-fuzzy performance value ranking method to help the consumer make a decision. A case of green supplier selection in the light-emitting diode (LED) industry is used to demonstrate the proposed decision model. The findings demonstrate (1) the consumer's main concerns are the "Quality" and "Green products" in LED industry, hence, the ranking of suitable supplier in FWA with social media information model obtained the difference result with tradition FWA; (2) OBOR in the LED industry is not fervently discussed in searches of Google and Twitter; and (3) the FWA with social media information could objectively analyze the green supplier selection because the novel model considers the viewpoints of the consumer.

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“…These issues were not easily solved until the development of Zadeh's fuzzy sets theory [6]. There are several studies which are related to the performance evaluation under fuzzy environment [7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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An efficient fuzzy weighted average algorithm for the military UAV selecting under group decision-making

Cited by 52 publications

References 34 publications

A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China

A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China

Green Suppliers Performance Evaluation in Belt and Road Using Fuzzy Weighted Average with Social Media Information

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