Determination Of Feasible Solutions To Environmental Problems By Using Fuzzy Soft Sets Theory

Abstract

Modern human civilization has been plagued with a host of ecological challenges. The rapid pace of global warming, rising sea level leading to loss of habitats and unprecedented flood causing havoc in both rural and city lives and other problems have still found no permanent solutions. In fact, the best ever scientific and technological interventions have failed miserably to mitigate these issues. Traditional and innovative ideas have been proved inadequate to address the issue of flood that has a
global presence in varied form or severity. Hence there are many scopes for research and development of mathematical models or interventions to offer solution to this issue of global and local concern. So it is a most appealing branch of study to develop feasible solutions to these problems. In this paper we have considered one of the most burning problems, the flood problem and try to develop the best feasible solution this problem by using Fuzzy Soft Set theory which was introduced by Molodtsov
in the year 1999. We have developed a sequence of key factors responsible for the flood problem as follows. {Population explosion, Deforestation, Global Warming, Big dam, Embankment, Blockage, Heavy rainfall} From this sequence we found that population explosion is the main cause for flood problem. Therefore, it is high time to control the population through a worldwide common policy.
Subject Classification: 21 (1940-1958)