Utilizing TOPSIS: A Multi Criteria Decision Analysis Technique for Non-Functional Requirements Conflicts

Author(s):  
Dewi Mairiza ◽  
Didar Zowghi ◽  
Vincenzo Gervasi
2021 ◽  
Author(s):  
Susmita Bandyopadhyay

Abstract This paper has proposed a novel Multi-Criteria Decision Analysis (MCDA) technique that considers relationships among the criteria, relationships among the alternatives, relationships among the criteria and the alternatives, the uncertainty or dilemma that the decision makers face in their decision making, the entropy among the criteria. The dilemma of the decision makers has been captured through the use of Hesitant Fuzzy Elements; the information content among the criteria has been captured by applying the concept of entropy through the application of a technique called IDOCRIW. A kind of sensitivity analysis has been performed to verify the effectiveness of the proposed technique. The proposed method has also been compared with four different types of already existing MCDA techniques, AHP, MAUT, MACBETH and MOORA. Both the sensitivity analysis and the comparison with other methods establish the effectiveness of the proposed technique.


2017 ◽  
Vol 29 (3) ◽  
pp. 165-178 ◽  
Author(s):  
Molly K. Floyd ◽  
Kash Barker ◽  
Claudio M. Rocco ◽  
Mackenzie G. Whitman

2014 ◽  
Vol 30 (1) ◽  
pp. 105-112 ◽  
Author(s):  
Giovanni Radaelli ◽  
Emanuele Lettieri ◽  
Cristina Masella ◽  
Luca Merlino ◽  
Alberto Strada ◽  
...  

Objectives:This study describes the health technology assessment (HTA) framework introduced by Regione Lombardia to regulate the introduction of new technologies. The study outlines the process and dimensions adopted to prioritize, assess and appraise the requests of new technologies.Methods:The HTA framework incorporates and adapts elements from the EUnetHTA Core Model and the EVIDEM framework. It includes dimensions, topics, and issues provided by EUnetHTA Core Model to collect data and process the assessment. Decision making is instead supported by the criteria and Multi-Criteria Decision Analysis technique from the EVIDEM consortium.Results:The HTA framework moves along three process stages: (i) prioritization of requests, (ii) assessment of prioritized technology, (iii) appraisal of technology in support of decision making. Requests received by Regione Lombardia are first prioritized according to their relevance along eight dimensions (e.g., costs, efficiency and efficacy, organizational impact, safety). Evidence about the impacts of the prioritized technologies is then collected following the issues and topics provided by EUnetHTA Core Model. Finally, the Multi-Criteria Decision Analysis technique is used to appraise the novel technology and support Regione Lombardia decision making.Conclusions:The VTS (Valutazione delle Tecnologie Sanitarie) framework has been successfully implemented at the end of 2011. From its inception, twenty-six technologies have been processed.


2021 ◽  
Author(s):  
Susmita Bandyopadhyay

Abstract This paper has proposed a novel Multi-Criteria Decision Analysis (MCDA) technique that considers relationships among the criteria, relationships among the alternatives, relationships among the criteria and the alternatives, the uncertainty or dilemma that the decision makers face in their decision-making, the entropy among the criteria. These characteristics seem to be the essential characteristics of various MCDA techniques as evident from the existing literature. The dilemma of the decision makers have been captured by the use of Hesitant Fuzzy Elements; the information content among the criteria have been captured by applying the concept of entropy through the application of a technique called IDOCRIW. Relationships have been determined by calculating the covariances among the criteria and among the alternatives. A kind of sensitivity analysis, rank reversal method has been performed to verify the effectiveness of the proposed technique. The proposed method has also been compared with four different types of already existing MCDA techniques, AHP, MAUT, MACBETH and MOORA. Both the sensitivity analysis and the comparison with other methods establish the effectiveness of the proposed technique.


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