Relative Technical Efficiency of Life Insurance Companies DEA and Interval DEA Methods
S. Jasmine Rathi1, V. Prakash2

1S. Jasmine Rathi, Department of Statistics, Presidency College, Chennai (Tamil Nadu), India.
2V. Prakash, Associate Professor, Department of Statistics, Presidency College, Chennai (Tamil Nadu), India.
Manuscript received on 18 January 2020 | Revised Manuscript received on 01 February 2020 | Manuscript Published on 05 February 2020 | PP: 101-105 | Volume-8 Issue-4S5 December 2019 | Retrieval Number: D10341284S519/2019©BEIESP | DOI: 10.35940/ijrte.D1034.1284S519
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Insurance industries in India have taken a huge shape especially after privatization and introduction of Insurance Regulatory & Development Authority (IRDA). It plays an vital role in the growth of financial sector in all developed and developing countries. Insurance may be a sort of risk management and primarily used hedge against the danger of a contingent or uncertain loss. In this paper the author analyses the relative efficiency of life insurance companies in India using DEA and Interval Data Envelopment Approach (Interval DEA). DEA is a non parametric linear programming problem used for measuring the relative efficiency of decision making units (DMU) which utilize several identical inputs to produce a set of identical outputs. Interval DEA model is used in efficiency measurement of the life insurance companies under imprecise inputs and outputs. The empirical results of the conventional DEA models and Interval DEA models are computed to trace the performance of decision making unit at a possibility level.
Keywords: Data Envelopment Analysis (DEA), Fuzzy data, Interval Data Envelopment Analysis (Interval DEA), Interval Efficiency, Life insurance Companies.
Scope of the Article: Data Visualization