A generic predictive knowledge management model for fisheries with special emphasis to the catch of oil-sardine along the south-west coast of India

Knowledge Management is a very hot domain these days due to the increasing asset value for knowledge available within the organization. These days, knowledge is treated as a vital asset that can increase organization´s competitive advantage. The potential that knowledge management has for improving fisheries management is increasingly being recognized. There are relatively few studies that have specifically addressed the challenges of knowledge management in fisheries. Knowledge about various fishery resources has become a major focal point of all stakeholders in the investment of time and effort. In this paper, we propose a predictive knowledge management model that is specific to the availability of Oil Sardine along the south-west coast of Kerala. This model can be applied for gaining business intelligence as well as improving competitive effectiveness. This model is processed for attribute reduction with the help of rough set theory and accordingly decision rules have been defined.