scholarly journals An OWA-TOPSIS method for multiple criteria decision analysis

2011 ◽  
Vol 38 (5) ◽  
pp. 5205-5211 ◽  
Author(s):  
Ye Chen ◽  
Kevin W. Li ◽  
Si-feng Liu
2011 ◽  
Vol 10 (06) ◽  
pp. 1131-1159 ◽  
Author(s):  
TING-YU CHEN

The theory of interval valued fuzzy sets is very valuable for modeling impressions of decision makers. In addition, it gives ability to quantify the ambiguous nature of subjective judgments in an easy way. In this paper, by extending the technique for order preference by similarity to ideal solution (TOPSIS), it is proposed a useful method based on generalized interval valued trapezoidal fuzzy numbers (GITrFNs) for solving multiple criteria decision analysis (MCDA) problems. In view of complexity in handling sophisticated data of GITrFNs, this paper employs the concept of signed distances to establish a simple and effective MCDA method based on the main structure of TOPSIS. An algorithm based on TOPSIS method is established to determine the priority order of given alternatives by using properties of signed distances. Finally, the feasibility of the proposed method is illustrated by a practical example of supplier selection.


2014 ◽  
Vol 13 (2) ◽  
pp. 63-76 ◽  
Author(s):  
Anna Łatuszyńska

Abstract When making choices and decisions, very seldom does the situation arise that a decision-maker very seldom bases their assessment of the options available on only one criterion. Frequently, many aspects of the available solutions are considered – both in terms of potential benefits and costs. In order to support decision makers, the Multiple-Criteria Decision Analysis (MCDA) is used for selecting the solution which is the best in several respects. There are many methods of multi-criteria decision-analysis such as AHP, ELECTRE, PROMETHEE, VIKOR or TOPSIS. In the article a modification of the last of these methods is used. With the use of TOPSIS method with interval arithmetic the analysis of the level of information society (IS) development in the European Union countries between 2005 to 2010 is performed and its results are presented.


2021 ◽  
pp. 128347
Author(s):  
Marco Cinelli ◽  
Michael A. Gonzalez ◽  
Robert Ford ◽  
John McKernan ◽  
Salvatore Corrente ◽  
...  

2021 ◽  
Vol 6 (1) ◽  
pp. 238146832199406
Author(s):  
Yee Vern Yong ◽  
Siti Hajar Mahamad Dom ◽  
Nurulmaya Ahmad Sa’ad ◽  
Rosliza Lajis ◽  
Faridah Aryani Md. Yusof ◽  
...  

Objectives. The current health technology assessment used to evaluate respiratory inhalers is associated with limitations that have necessitated the development of an explicit formulary decision-making framework to ensure balance between the accessibility, value, and affordability of medicines. This study aimed to develop a multiple-criteria decision analysis (MCDA) framework, apply the framework to potential and currently listed respiratory inhalers in the Ministry of Health Medicines Formulary (MOHMF), and analyze the impacts of applying the outputs, from the perspective of listing and delisting medicines in the formulary. Methods. The overall methodology of the framework development adhered to the recommendations of the ISPOR MCDA Emerging Good Practices Task Force. The MCDA framework was developed using Microsoft Excel 2010 and involved all relevant stakeholders. The framework was then applied to 27 medicines, based on data gathered from the highest levels of available published evidence, pharmaceutical companies, and professional opinions. The performance scores were analyzed using the additive model. The end values were then deliberated by an expert committee. Results. A total of eight main criteria and seven subcriteria were determined by the stakeholders. The economic criterion was weighted at 30%. Among the noneconomic criteria, “patient suitability” was weighted the highest. Based on the MCDA outputs, the expert committee recommended one potential medicine (out of three; 33%) be added to the MOHMF and one existing medicine (out of 24; 4%) be removed/delisted from the MOHMF. The other existing medicines remained unchanged. Conclusions. Although this framework was useful for deciding to add new medicines to the formulary, it appears to be less functional and impactful for the removal/delisting existing medicines from the MOHMF. The generalizability of this conclusion to other formulations remains to be confirmed.


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