Version 1
: Received: 25 July 2024 / Approved: 26 July 2024 / Online: 26 July 2024 (13:20:03 CEST)
How to cite:
Nagalakshmi, T.; Selvaraj, A.; Rosary, M. S.; Ali, N. A Novel Approach Using Fuzzy TOPSIS and COPRAS for Analyzing the Causes of Divorce in India. Preprints2024, 2024072155. https://doi.org/10.20944/preprints202407.2155.v1
Nagalakshmi, T.; Selvaraj, A.; Rosary, M. S.; Ali, N. A Novel Approach Using Fuzzy TOPSIS and COPRAS for Analyzing the Causes of Divorce in India. Preprints 2024, 2024072155. https://doi.org/10.20944/preprints202407.2155.v1
Nagalakshmi, T.; Selvaraj, A.; Rosary, M. S.; Ali, N. A Novel Approach Using Fuzzy TOPSIS and COPRAS for Analyzing the Causes of Divorce in India. Preprints2024, 2024072155. https://doi.org/10.20944/preprints202407.2155.v1
APA Style
Nagalakshmi, T., Selvaraj, A., Rosary, M. S., & Ali, N. (2024). A Novel Approach Using Fuzzy TOPSIS and COPRAS for Analyzing the Causes of Divorce in India. Preprints. https://doi.org/10.20944/preprints202407.2155.v1
Chicago/Turabian Style
Nagalakshmi, T., Maria Singaraj Rosary and Nasir Ali. 2024 "A Novel Approach Using Fuzzy TOPSIS and COPRAS for Analyzing the Causes of Divorce in India" Preprints. https://doi.org/10.20944/preprints202407.2155.v1
Abstract
In India, the divorce rate is rising year after year. Divorces are thought to have increased by more than a factor of two during the past two decades. India has great cultural diversity, and each of its states has something unique to offer. The divorce rate in India, which differs from state to state, is among the most frequently discussed subjects. More than 30% of marriages end in divorce in big cities like Delhi, Mumbai, Chennai, and Bangalore. Divorce applications have nearly tripled in the past few years in cities like Delhi, Bangalore, Mumbai, Kolkata, and Lucknow. In India, the divorce rate has increased, especially in small cities. Hence, the reasons behind divorce in India were explored in this article. In order to analyze the causes of divorce, the current study aimed to combine the critical components of TOPSIS and COPRAS methodologies in a fuzzy environment. Additionally, it is shown that a comparison study may pinpoint the characteristics that influence divorces the most.
Keywords
linguistic variable; triangular fuzzy number; fuzzy TOPSIS and COPRAS
Subject
Computer Science and Mathematics, Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
