Paper Title
Rough Set Based Optimal Location Model For Aquaculture Development

The success of aquacultural projects without adverse environmental effects largely depends upon the selection of optimal site for the project. The Multi Criteria Decision Making (MCDM) methods and classical rough set approach deals with operation research problems with more than one variable. But these methods just takes the classification characteristic of variables into consideration but ignores the preference-orders of variables is very important in many real applications like aquaculture. Keeping this in view, we have developed an optimal location model using twenty seven variables based on dominance based rough set theory and simple additive weighting MCDM method for aquaculture development. The priority weights for the variables were determined using the dominance rough set theory and subsequently, these weights were used for identifying the optimal location from a number of alternative locales based on the objective function values and ranks assigned to them using the simple additive weighting method. A case study application of identification of optimal location in Kalla mandal, West Godavari district, Andhra Pradesh, India, was used to validate the model. Keywords: Rough set, MCDM; Optimal location; Aquaculture