Linguistic assessment information risky multi-criteria decision-making about wind power investment

2016 ◽  
Vol 30 (5) ◽  
pp. 3017-3023 ◽  
Author(s):  
Li Cunbin ◽  
Yuan Jiahang ◽  
Feng Xia
Keyword(s):  
Decision Making ◽  
Wind Power ◽  
Multi Criteria Decision Making ◽  
Linguistic Assessment ◽  
Linguistic Assessment Information

A Method of Multi-Attribute Group Decision-Making Based on LWD and LOWA Operator

2011 ◽  
Vol 58-60 ◽  
pp. 1130-1135
Author(s):  
Shi Jun Zhang ◽  
Yuan Cai
Keyword(s):  
Decision Making ◽  
Natural Language ◽  
Decision Maker ◽  
Group Decision Making ◽  
Group Decision ◽  
Language Assessment ◽  
New Method ◽  
Group Assessment ◽  
Linguistic Assessment ◽  
Linguistic Assessment Information

A new method was proposed to solve multi-attribute group decision-making problems with natural language assessment information. In this method, firstly the linguistic assessment information given by each decision maker was aggregated by LWD and LOWA operators in order to obtain the group assessment information. Then, the preferred scheme is obtained from the result of aggregation. Finally, a simulation example was given to illustrate the validity of this approach.

scholarly journals An Approach to Linguistic Multiple Attribute Decision-Making Based on Unbalanced Linguistic Generalized Heronian Mean Aggregation Operator

2018 ◽  
Vol 2018 ◽  
pp. 1-25 ◽  
Author(s):  
Bing Han ◽  
Huayou Chen ◽  
Jiaming Zhu ◽  
Jinpei Liu
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Aggregation Operators ◽  
Low Carbon ◽  
Weighted Arithmetic ◽  
Multiple Attribute ◽  
Linguistic Assessment ◽  
Linguistic Assessment Information ◽  
Heronian Mean ◽  
Generalized Arithmetic

This paper proposes an approach to linguistic multiple attribute decision-making problems with interactive unbalanced linguistic assessment information by unbalanced linguistic generalized Heronian mean aggregation operators. First, some generalized Heronian mean aggregation operators with unbalanced linguistic information are proposed, involving the unbalanced linguistic generalized arithmetic Heronian mean operator and the unbalanced linguistic generalized geometric Heronian mean operator. For the situation that the input arguments have different degrees of importance, the unbalanced linguistic generalized weighted arithmetic Heronian mean operator and the unbalanced linguistic generalized weighted geometric Heronian mean operator are developed. Then we investigate their properties and some particular cases. Finally, the effectiveness and universality of the developed approach are illustrated by a low-carbon tourist instance and comparison analysis. A sensitivity analysis is performed as well to test the robustness of proposed methods.

Applied-Information Technology and Data Processing in Determination of Subjective Weights in Multiple Attribute Decision Making

2014 ◽  
Vol 662 ◽  
pp. 271-276
Author(s):  
Bian Ping Su ◽  
Hong Yan Su
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Subjective Evaluation ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Multi Attribute Decision Making ◽  
Linguistic Assessment ◽  
Index Weight ◽  
Linguistic Assessment Information

The index weight plays a very important role and directly affects the decisions of the results in the multi-attribute decision making, this paper applys information technology and date processing to determine subjective weights in multiple attribute decision making ,and combinate tuple Linguistic and AHP to solve the subjective indicators with linguistic assessment information right weight information.Finally,obtained subjective evaluation index weights and an example is given to approve the effectiveness and feasibility of the method.

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