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Diagnosis of Vector-Borne Diseases Using MCDM Techniques
Kiran Pal1, V. Kumar2, H. D. Arora3

1V. Kumar, Faculty of Engineering and Technology Manav Rachna International University Noida, India.
2Kiran Pal, Research Scholar, Department of Mathematics, Amity University, Noida, India.
3Assistant Professor, Department of Mathematics, DITE, Delhi, India, Faridabad H. D. Arora, Professor, Department of Mathematics, Amity University, Noida, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1367-1375 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8338088619/2019©BEIESP | DOI: 10.35940/ijeat.F83380.88619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Vector -borne diseases (VBDs) are one of the major problems of human are affecting adversely to people each year in every part of the world. In this work multiple decision-making technique is used to provide a better diagnosis for VBDs. It evaluates alternative diseases having contradictory symptoms. It is very tough to exactly determine crsiteria weight as well as rating of alternatives (diseases) on each criterion. Here VIKOR approach is applied for medical diagnosis of VBDs such as malaria, chikungunya, and dengue, and also used the notion of intuitionistic fuzzy set (IFS) theory to explain this concept. Furthermore, criteria selected according to relevant disease and weights assigned to them by medical experts. In order to accomplish the objective, patients’ data has been acquired using a questionnaire from three medical experts of Delhi region. The study shows that final outcomes are same as diagnosed by doctors regarding actual diseases as that by employing VIKOR technique based on questionnaire information. Thus, MCDM methodology can help in correct and timely diagnosis of VBDs and provides doctors a scientific diagnostic tool.
Keywords: Intuitionistic Fuzzy Set IFS, Intuitionistic fuzzy number (IFN), medical diagnosis, VIKOR technique.