Portfolio Decision Model in Stock Market Based On Rough Approximate Operators

摘要

Rough set is an effective method to deal with incomplete information, and it is generally applied to areas of uncertainty. We combine with rough approximation operators and OWA algorithm, for the purpose of analysis the part of the data that listed by financial statements companies. We calculate the most important factor in the prospects for the stock market, and provide a theoretical basis which portfolio decision processes need to focus on in the stock mark.