The Study of Informatization Investment Benefit Evaluation for Grid Enterprise Based on Fuzzy Analytic Hierarchy Process

Author(s):  
Wu Kehe ◽  
Wu Jinshui ◽  
Yuan Yue ◽  
Cheng Bohao
2013 ◽  
Vol 357-360 ◽  
pp. 2505-2509
Author(s):  
Qi Jian Guo ◽  
Feng Tian Hao ◽  
Zheng Wei Pan

According to the research status of the public buildings benefit evaluation, this thesis proposes that the evaluation should pay more attention to the comprehensive benefit. On this basis, a new evaluation model for the comprehensive benefit has been constructed by better using FAHP in this field, which has been proved by the Xuzhou Olympic Sports Center project. The research shows that applying FAHP to the public buildings benefit evaluation can make the result more reliable, which has good practicability and application value.


Author(s):  
G. Marimuthu ◽  
G. Ramesh

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.


2021 ◽  
Vol 13 (2) ◽  
pp. 809
Author(s):  
Ngoc Thach Pham ◽  
Anh Duc Do ◽  
Quang Vinh Nguyen ◽  
Van Loi Ta ◽  
Thi Thanh Binh Dao ◽  
...  

This study aims to investigate and evaluate factors related to the knowledge management model at universities in Hanoi, Vietnam. Based on the system literature review (SLR) approach, the study follows descriptive and inductive approach results of the document review process. Eight factors were synthesized with the fuzzy analytic hierarchy process (FAHP) to evaluate the priority order. Ten experts from seven universities participated in the survey. The results rank as follows: (1) knowledge sharing factor (this also has the highest best nonfuzzy performance (BNP) and average multiplier weight (GM)); (2) knowledge management with big data systems; (3) knowledge creation; (4) knowledge use; (5) knowledge gathering; (6) leadership; (7) knowledge rating; and (8) knowledge storage. Discussions, conclusions, limitations of the study, and suggestions for future studies are also mentioned in this study.


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