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maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

Defence Technology（防务技术） 2020年第5期16卷 1073-1087页

作者： Jie Wang Gui-wu Wei Cun Wei Jiang Wu School of Business Sichuan Normal UniversityChengdu610101PR China School of Statistics Southwestern University of Finance and EconomicsChengdu611130PR China

Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment,the evaluation information of alternatives given by decision makers is often fuzzy and *** a generalization of intuitionistic fuzzy set(IFSs)and Pythagoras fuzzy set(PFSs),q-rung orthopair fuzzy set(q-ROFS)is more suitable for expressing fuzzy and uncertain ***,in actual multiple attribute decision making(MADM)problems,the weights of DMs and attributes are always completely unknown or partly known,to date,the maximizing deviation method is a good tool to deal with such ***,combine the q-ROFS and conventional maximizing deviation method,we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this ***,we briefly introduce the basic concept of q-rung orthopair fuzzy sets(q-ROFSs)and q-rung interval-valued orthopair fuzzy sets(q-RIVOFSs).Then,combine the maximizing deviation method with q-rung orthopair fuzzy information,we establish two new decision making *** this basis,the proposed models are applied to MADM problems with q-rung orthopair fuzzy *** with existing methods,the effectiveness and superiority of the new model are *** method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers(q-ROFNs)and whose attributes are incomplete.

关键词： Multiple attribute decision making(MADM) q-rung orthopair fuzzy sets(q-ROFSs) q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs) maximizing deviation method Building materials

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Prospect Theory Based Hesitant Fuzzy Multi-Criteria Decision Making for Low Sulphur Fuel of Maritime Transportation

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Computers, Materials & Continua 2021年第2期66卷 1511-1528页

作者： Changli Lu Ming Zhao Imran Khan Peerapong Uthansakul School of Economics and Management Shanghai Maritime UniversityShanghai201306China School of Economics and Management Pingdingshan UniversityPingdingshan467000China Department of Electrical Engineering University of Engineering and TechnologyPeshawarPakistan School of Telecommunication Engineering Suranaree University of TechnologyNakhonratchasimaThailand

The environmental impact of maritime transport has now become a relevant issue in sustainable policy formulation and has attracted increasing interest from *** the sustainable development of maritime transport,International Maritime Organization stipulates that the sulfur content of ship emissions will reach 0.5 from *** the approaching of the stipulated implementation date,shipowners need to adopt scientific methods to make decision on low sulfur *** this study,we applied a prospect theory based hesitant fuzzy multi-criteria decision-making model to obtain the optimal decision of low Sulphur marine *** this purpose,the hesitant fuzzy decision matrix is established to collect expert opinions,the maximizing deviation method is adopted to determine criteria *** to calculate the Euclidean distance from the reference points,we obtain the comprehensive prospect values of ***,a case study is carried out to illustrate the significance and effectiveness of the proposed *** innovation of this study is that it is the first-time adopting prospect theory and hesitate fuzzy sets to multi-criteria decision making for low Sulphur marine fuel,which provides an effective decision model for shipping companies under Low Sulphur regulations,and can also be extended to other industries.

关键词： Maritime transport prospect theory hesitant fuzzy sets multi-criteria decision making maximizing deviation method euclidean distance

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