Business Competitors Analysis Based on Rough Set Theory: A Case of Business Partner Dynamic Selection

Selecting ideal partners is the first step of constructing a business alliance, which influences the efficiency of alliance operation and coordination directly. The study proposed a dynamic partner selection model which included information collection module, rough set processing module, partner selection module, and result assessment module. Several methodologies were applied in the model: meta search engine to enlarge the scope of potential partners, rough set theory to evaluate indices automatically as well as simplify the data source for deep data analysis, and result assessment and feedback to update dynamically attributes reduction rules based on rough set theory.