Fuzzy Linear programming approach in Water Pollution Control

Abstract

Purpose of the study: The purpose of the study is to calculate the water pollution level of a source. Because water pollution is a very big problem in front of us. Mining and the related activities are responsible for large scale water pollution.
 Methodology: The problem of water pollution control (WPC) may be treated as a multiple objective decision making problem. This paper deals with use of fuzzy linear programming in water pollution control problem. Min operator has been used to construct the overall achievement function. A semi hypothetical case has been studied with regard to mining vis-a-vis water pollution.
 Main Findings: After calculation and using all the methods the main finding is that total WPC cost is 54411.12 units.
 Applications of this study: We can use this method of water purification to purify the big source of water supply. After using this method the cost of water purification can be calculated and minimized.
 Novelty/Originality of this study: This calculation is based on the secondary data source and this can help the system to use the proper method and calculation of expense in purifying water.