An Intuitionistic Fuzzy Stochastic Decision‐Making Method Based on Case‐Based Reasoning and Prospect Theory

Li, Peng; Yang, Yingjie; Wei, Cuiping

doi:10.1155/2017/2874954

Cited by 9 publications

(6 citation statements)

References 37 publications

(54 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Through comprehensively considering the risk preference of decision makers, Hao et al [25] put forward the multistage random decision making method based on PT. Li et al [26] combine IFS, PT, and gray correlation degree to solve random decision making problems.…”

Section: Literature Reviewmentioning

confidence: 99%

The Application of Fuzzy VIKOR for the Design Scheme Selection in Lean Management

Jing

Tang

Yan

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Given that using the same evaluation criteria in group decision making (GDM) may cause solution bias, this research proposes the decision making model using improved fuzzy VIKOR and takes the lean management design scheme selection process in a real estate company as an example to study the way of decision making. Research results are as follows: (1) improved fuzzy VIKOR allows different decision makers to evaluate all schemes with respect to different evaluation criteria systems and, based on this, this research proposes a decision making model which can effectively avoid making decision using the same criteria system; (2) this decision making model is very scientific, as it is not sensitive to the coefficient of selection mechanism, the weight of decision maker, and the weight of evaluation criterion, so the decision results are very stable; (3) the decision making model proposed in this research can effectively obtain the optimal result and avoid suboptimal solution.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

The Application of Fuzzy VIKOR for the Design Scheme Selection in Lean Management

Jing

Tang

Yan

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…There is a great deal of research on MCDM methods, including evidence reasoning decision-making (Du and Hu, 2016), case-based reasoning decision-making (Li et al , 2017), group decision-making (Joshi and Kumar, 2015) and other traditional decision-making techniques (Liang et al , 2016; Liu and Wang, 2016; Lourenzutti et al , 2017; Wei et al , 2014). These methods provide comprehensive evaluations of each alternative and are suitable for comparing several alternatives simultaneously.…”

Section: Introductionmentioning

confidence: 99%

A new two-stage grey evaluation decision-making method for interval grey numbers

Wei

2018

Self Cite

View full text Add to dashboard Cite

Purpose In multi-criteria decision-making with interval grey number information, decision makers usually take a risk to rank or choose some very similar alternatives. Additionally, when evaluating only one alternative, decision makers can only obtain a specific value using traditional decision-making methods and may find it hard to cluster the alternatives to the “correct class” because these methods lack predetermined reference points. To overcome this problem, this paper aims to propose a two-stage grey decision-making method. Design/methodology/approach First, a new type of clustering method for interval grey numbers is designed by proposing a new possibility function for grey numbers. Based on this clustering method, a new grey clustering evaluation model for interval grey numbers is proposed by which decision makers can obtain the grade rating information of each alternative. Then, according to the grey clustering evaluation model, a new two-stage decision-making method is introduced to solve the problem that some alternatives are very similar by designing a grey comprehensive decision coefficient of alternatives. Findings The authors propose a new grey clustering evaluation model to deal with interval grey numbers. They design a new model to obtain the membership degree for the interval grey numbers and then propose a new grey clustering evaluation model, which can evaluate only one alternative by predefined grey classes. Then, by the grey comprehensive decision coefficient, a two-stage grey evaluation decision-making method is put forward to solve the problem that some alternatives are very close and hard to be distinguished. Originality/value A new grey clustering evaluation model is proposed, which can evaluate only one alternative by predefined grey classes. A two-stage grey evaluation decision-making method is given to solve the problem that some alternatives are very close and hard to be distinguished.

show abstract

“…Some scholars from Nanjing University of Aeronautics and Astronautics combined grey system with fuzzy theory, and put forward relevant decision methods. For example, Li Peng, Liu Sifeng and Zhu Jianjun studied the combination of GR, DS and MYCIN, which was applied to IFS decision-making [ 32 , 33 ]. Liu Yong and Liu Sifeng studied the dynamic multi-attribute grey relational decision making method based on interval intuitionistic fuzzy [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Grey Language Hesitant Fuzzy Group Decision Making Method Based on Kernel and Grey Scale

Diao

Gong

et al. 2018

IJERPH

View full text Add to dashboard Cite

Based on grey language multi-attribute group decision making, a kernel and grey scale scoring function is put forward according to the definition of grey language and the meaning of the kernel and grey scale. The function introduces grey scale into the decision-making method to avoid information distortion. This method is applied to the grey language hesitant fuzzy group decision making, and the grey correlation degree is used to sort the schemes. The effectiveness and practicability of the decision-making method are further verified by the industry chain sustainable development ability evaluation example of a circular economy. Moreover, its simplicity and feasibility are verified by comparing it with the traditional grey language decision-making method and the grey language hesitant fuzzy weighted arithmetic averaging (GLHWAA) operator integration method after determining the index weight based on the grey correlation.

show abstract

An Intuitionistic Fuzzy Stochastic Decision‐Making Method Based on Case‐Based Reasoning and Prospect Theory

Cited by 9 publications

References 37 publications

The Application of Fuzzy VIKOR for the Design Scheme Selection in Lean Management

The Application of Fuzzy VIKOR for the Design Scheme Selection in Lean Management

A new two-stage grey evaluation decision-making method for interval grey numbers

Grey Language Hesitant Fuzzy Group Decision Making Method Based on Kernel and Grey Scale

Contact Info

Product

Resources

About