{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:26:13Z","timestamp":1740201973619,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>Stock market investing is an inherently risky and imprecise activity, requiring complex decision making under uncertainty. This paper proposes a method that applies fuzzy rule-based inference to rank stocks based on price momentum and market capitalization. Experiments performed on Thai stock market data showed that high-momentum stocks significantly outperformed the market index benchmark, and that stocks of companies with small market capitalization performed better than larger ones. Fuzzy rule-based inference was applied to combine both the momentum factor and the market capitalization factor, with different sets of rules for different prevailing market conditions. The result produced a higher investment return than using either momentum or market capitalization alone.<\/jats:p>","DOI":"10.3233\/978-1-61499-722-1-102","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:26:53Z","timestamp":1740133613000},"source":"Crossref","is-referenced-by-count":0,"title":["Fuzzy Rule-Based Stock Ranking Using Price Momentum and Market Capitalization"],"prefix":"10.3233","author":[{"family":"Peachavanish Ratchata","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining II"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:33:53Z","timestamp":1740134033000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-721-4&spage=102&doi=10.3233\/978-1-61499-722-1-102"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-722-1-102","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}