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Arithmetic Operations of Generalized Trapezoidal Picture Fuzzy Numbers by Vertex Method
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作者 Mohammad Kamrul Hasan Abeda Sultana Nirmal Kanti Mitra 《American Journal of Computational Mathematics》 2023年第1期99-121,共23页
In this article, we define the arithmetic operations of generalized trapezoidal picture fuzzy numbers by vertex method which is assembled on a combination of the (α, γ, β)-cut concept and standard interval analysis... In this article, we define the arithmetic operations of generalized trapezoidal picture fuzzy numbers by vertex method which is assembled on a combination of the (α, γ, β)-cut concept and standard interval analysis. Various related properties are explored. Finally, some computations of picture fuzzy functions over generalized picture fuzzy variables are illustrated by using our proposed technique. 展开更多
关键词 Picture fuzzy Set generalized Trapezoidal Picture fuzzy Number γ β)-Cut Arithmetic Operations Vertex Method
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A MULTI-ATTRIBUTE LARGE GROUP EMERGENCY DECISION MAKING METHOD BASED ON GROUP PREFERENCE CONSISTENCY OF GENERALIZED INTERVAL-VALUED TRAPEZOIDAL FUZZY NUMBERS 被引量:7
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作者 Xuanhua Xu Chenguang Cai +1 位作者 Xiaohong Chen Yanju Zhou 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2015年第2期211-228,共18页
In this paper, a new decision making approach is proposed for the multi-attribute large group emergency decision-making problem that attribute weights are unknown and expert preference information is expressed by gene... In this paper, a new decision making approach is proposed for the multi-attribute large group emergency decision-making problem that attribute weights are unknown and expert preference information is expressed by generalized interval-valued trapezoidal fuzzy numbers (GITFNs). Firstly, a degree of similarity formula between GITFNs is presented. Secondly, expert preference information on different alternatives is clustered into several aggregations via the fuzzy clustering method. As the clustering proceeds, an index of group preference consistency is introduced to ensure the clustering effect, and then the group preference information on different alternatives is obtained. Thirdly, the TOPSIS method is used to rank the alternatives. Finally, an example is taken to show the feasibility and effectiveness of this approach. These method can ensure the consistency degree of group preference, thus decision efficiency of emergency response activities can be improved. 展开更多
关键词 generalized interval-valued trapezoidal fuzzy numbers large group decision making group preference consistency emergency response
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DETERMINGING BPA UNDER UNCERTAINTY ENVIRONMENTS AND ITS APPLICATION IN DATA FUSION 被引量:15
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作者 Deng Yong Jiang Wen +2 位作者 Xu Xiaobin Li Qi Wang Dong 《Journal of Electronics(China)》 2009年第1期13-17,共5页
Dempster-Shafer (DS) theory of evidence has been widely used in many data fusion ap- plication systems. However, how to determine basic probability assignment, which is the main and the first step in evidence theory, ... Dempster-Shafer (DS) theory of evidence has been widely used in many data fusion ap- plication systems. However, how to determine basic probability assignment, which is the main and the first step in evidence theory, is still an open issue. In this paper, a new method to obtain Basic Probability Assignment (BPA) is proposed based on the similarity measure between generalized fuzzy numbers. In the proposed method, species model can be constructed by determination of the min, average and max value to construct a fuzzy number. Then, a new Radius Of Gravity (ROG) method to determine the similarity measure between generalized fuzzy numbers is used to calculate the BPA functions of each instance. Finally, the efficiency of the proposed method is illustrated by the classi- fication of Iris data. 展开更多
关键词 Data fusion Dempster-Shafer (DS) theory of evidence Basic Probability Assignment(BPA) generalized fuzzy number Similarity measure
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Breakable Fuzzy Multi-stage Transportation Problem
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作者 Abhijit Baidya Uttam Kumar Bera Manoranjan Maiti 《Journal of the Operations Research Society of China》 EI CSCD 2015年第1期53-67,共15页
In this paper,we investigate two new transportation models with breakability and restriction on transportation.Sometime in transportation process the items which are transported,have got damaged due to bad conditions ... In this paper,we investigate two new transportation models with breakability and restriction on transportation.Sometime in transportation process the items which are transported,have got damaged due to bad conditions of the road and vehicle.Here we consider the problem that there are so many plants and customers and the goods are transported in n-stages.We formulate two transportationmodels under crisp and fuzzy environment where we consider the transportation parameters are crisp and fuzzy in nature,respectively.We also consider the breakability(takes the deterministic value for the respectivemodels)at each stages.For the fuzzy model,generalized triangular fuzzy number and mean ofα-cut method are considered.Numerical illustration is provided to illustrate the developed models. 展开更多
关键词 Transportation problem(TP) Multi-stage TP Breakability generalized triangular fuzzy number
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