SUMMARY: SMART DECISION MAKING USING FUZZY LOGIC FOR KNOWLEDGE MANAGEMENT SYSTEM
Prajakta S. Ratnaparkhi, Pradeep K. Butey · 2014
Decision making is a vital part of the business world. A person working as a low level supervisor or a CEO of the company all have to take decisions. Employees, customer and stockholders notice how a manager make and take decisions. Decisions can't be undone without spending huge cost in terms of money and time. This critical activity needs to be handled carefully. It requires research and consideration of various alternatives available at the time. A bad decision not only stands to losea huge amount of potential revenue but can even collapse and dissolve. If right information is available to right person at the right time the outcome is awesome, taking enterprise to the new highest. Researchers from computer science fields are continuously trying to improve the process. The evolution of Knowledge Management System (KMS) was also a part to support the decision making process for the top level managers as the different types of information system is helpless at the strategic level of planning. The use of Fuzzy Logic approach is to handle the uncertain situations more effectively. The ant colony optimization technique is recommended for optimal search. We are here giving a short summary of our research work containing a complete theoretical outline to develop an effective decision making tool for knowledge management system using fuzzy logic.