Application of TOPSIS in the Diagnosis of Vector Borne Diseases
Kiran Pal1, V. Kumar2, H. D. Arora3, Surendra Kumar4
1Mrs. Kiran Pal: M Sc in Mathematics from Barkatullah University Bhopal (Madhya Pradesh) India.
2H. D. Arora, Professor, Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida.
3V. Kumar, Professor, Department of Mathematics, Manav Rachna International Institute of Research & Studies, Faridabad Haryana India.
4Dr. Surendra Kumar, has done MBBS from Sarojini Naidu Medical College, Agra, Uttar Pradesh.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 5217-5223 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8585088619/2019©BEIESP | DOI: 10.35940/ijeat.F8585.088619
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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: “Intuitionistic Fuzzy Set” (IFS) is used to manage nebulousness and indecision. In current investigation, another intuitionistic fuzzy TOPSIS method is proposed for decision making by utilizing entropy weight. Current model permits estimating the degree of membership and non-membership of various alternatives assessed over a criterion set. A case study has been carried out to diagnosis of vector borne disease. Criteria’s have been selected according to relevant disease and weight has been assigned to them by medical expert’s committee. It has been established that TOPSIS method can diagnose the VBD diseases using specific symptoms as criteria and VBDs as alternatives. The suggested methodology can help in correct and timely diagnosis of VBDs and provides doctors an innovative diagnostic tool (WHO, 2004; WHO, 2014). The result is validated by applying fuzzy VIKOR method.
Keywords: Entropy, IFS, MCDM, TOPSIS, SIFWA operator.