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Through the comparisons with Kmeans algorithm and other different distance measures in KNN algorithm, we find that the hybrid KNN algorithm is more suitable for clustering personal credit data.<\/jats:p>","DOI":"10.3233\/jifs-200191","type":"journal-article","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T12:51:22Z","timestamp":1600433482000},"page":"6993-7004","source":"Crossref","is-referenced-by-count":6,"title":["A Hybrid KNN algorithm with Sugeno measure for the personal credit reference system in China"],"prefix":"10.1177","volume":"39","author":[{"given":"Lu","family":"Han","sequence":"first","affiliation":[{"name":"School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Su","sequence":"additional","affiliation":[{"name":"School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China"},{"name":"School 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