Combined Approach for Government E-Tendering Using GA and TOPSIS with Intuitionistic Fuzzy Information

摘要: As E-government continues to develop with ever-increasing speed, the requirement enhance traditional government systems and affairs electronic methods that are more effective efficient is becoming critical. a new product of information technology, E-tendering an inevitable reality owing its efficiency, fairness, transparency, accountability. Thus, developing promoting (GeT) imperative. This paper presents hybrid approach combining genetic algorithm (GA) Technique for Order Preference by Similarity Ideal Solution (TOPSIS) enable GeT search optimal tenderer efficiently fairly under circumstances where attributes tenderers expressed as fuzzy number intuitionistic sets (FNIFSs). GA applied obtain weights evaluation criteria automatically. TOPSIS employed tenderer. A prototype system built validated illustrative example from verify feasibility availability proposed approach.