{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T04:45:00Z","timestamp":1758861900533,"version":"3.37.3"},"reference-count":26,"publisher":"Wiley","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71171202","12AZD109","70921001"],"award-info":[{"award-number":["71171202","12AZD109","70921001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Social Foundation of China","award":["71171202","12AZD109","70921001"],"award-info":[{"award-number":["71171202","12AZD109","70921001"]}]},{"name":"Science Foundation for National Innovation Research Group of China","award":["71171202","12AZD109","70921001"],"award-info":[{"award-number":["71171202","12AZD109","70921001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Applied Mathematics"],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>We propose some similarity measures between two triangular fuzzy numbers (TFNs) based on the vector similarity measures in vector space, which can be used to aggregate the decision information with TFNs. A methodology for multiple criteria group decision-making (MCGDM) problems with triangular fuzzy information is proposed; the criteria values take the form of linguistic values, which can be converts to TFNs. According to the weighted similarity measures between each alternative and ideal alternative, it is easy to rank alternatives and select the most desirable alternative. Finally, we apply the proposed methods to an illustrative example of MCGDM; the numerical results show that our method is effective and practical. For comparison, we also apply our similarity measures method to solve the fuzzy decision-making problem in Wei (2011); our method has simpler computation and gets the same results more rapidly than the FLOWHM method.<\/jats:p>","DOI":"10.1155\/2013\/538261","type":"journal-article","created":{"date-parts":[[2013,3,28]],"date-time":"2013-03-28T17:03:49Z","timestamp":1364490229000},"page":"1-7","source":"Crossref","is-referenced-by-count":21,"title":["Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making"],"prefix":"10.1155","volume":"2013","author":[{"given":"Liyuan","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Business, Central South University, Changsha, Hunan 410083, China"},{"name":"School of Business, Shandong University of Technology, Zibo, Shandong 255049, 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