Developing Flexible Decision Support Systems Using Case-Base Reasoning System
Surjeet Dalal, Keshav Jindal, Monika Nirwal · 2013
Each order contractors estimate his probable costs of hauling out the work thorough in the scheme schedule and adds a percentage markup to form the bid value. The value of the rack up critically influences the probability of a bidder engaging the contract. Clearly, a low markup value should increases the chance of winning but decrease the profit, whilst a high markup should increase the profit but decrease the chance of winning the contract. It is very difficult for contractors to decide a proper markup, which happens to produce a satisfactory balance between the probability of winning the contract and the profit generated as a result of winning the contract. This paper presents a case-based reasoning decision support system (CBRDSS) that assists contractors in solving markup estimation problem. The CRR-DSS uses successful cases of previous completed projects to derive solution to new project markup estimation problem. The principle of the CBR-DSS is to analogy new project with previous projects.