scholarly journals Research on Evaluation of Regional Economic Competitiveness Based on Fuzzy Analytic Hierarchy Process

2020 ◽  
Vol 1 (2) ◽  
pp. 24 ◽  
Author(s):  
Youliang Zhou ◽  
Zhuo Lu

The evaluation of regional economic competitiveness plays an important role in the healthy development of regional economy. Based on the evaluation of current regional economic competitiveness, this paper proposes the use of fuzzy analytic hierarchy process to evaluate the regional economic competitiveness, and based on the fuzzy analytic hierarchy process, it faces the regional economic competitiveness evaluation indicators from the economic, social and ecological levels. The system is constructed and the specific method of regional economic competitiveness evaluation based on fuzzy analytic hierarchy process is studied.

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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