{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:21:59Z","timestamp":1766269319832,"version":"3.37.3"},"reference-count":22,"publisher":"Wiley","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":["61370097"],"award-info":[{"award-number":["61370097"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>To solve the invalidation problem of Dempster-Shafer theory of evidence (DS) with high conflict in multisensor data fusion, this paper presents a novel combination approach of conflict evidence with different weighting factors using a new probabilistic dissimilarity measure. Firstly, an improved probabilistic transformation function is proposed to map basic belief assignments (BBAs) to probabilities. Then, a new dissimilarity measure integrating fuzzy nearness and introduced correlation coefficient is proposed to characterize not only the difference between basic belief functions (BBAs) but also the divergence degree of the hypothesis that two BBAs support. Finally, the weighting factors used to reassign conflicts on BBAs are developed and Dempster\u2019s rule is chosen to combine the discounted sources. Simple numerical examples are employed to demonstrate the merit of the proposed method. Through analysis and comparison of the results, the new combination approach can effectively solve the problem of conflict management with better convergence performance and robustness.<\/jats:p>","DOI":"10.1155\/2015\/509385","type":"journal-article","created":{"date-parts":[[2015,3,27]],"date-time":"2015-03-27T18:02:02Z","timestamp":1427479322000},"page":"1-9","source":"Crossref","is-referenced-by-count":45,"title":["Combination of Evidence with Different Weighting Factors: A Novel Probabilistic-Based Dissimilarity Measure Approach"],"prefix":"10.1155","volume":"2015","author":[{"given":"Mengmeng","family":"Ma","sequence":"first","affiliation":[{"name":"Key Laboratory of Embedded and Network Computing of Hunan Province, College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China"}]},{"given":"Jiyao","family":"An","sequence":"additional","affiliation":[{"name":"Key Laboratory of Embedded and Network Computing of Hunan Province, College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2011.08.001"},{"issue":"2","key":"2","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1111\/j.2517-6161.1968.tb00722.x","volume":"30","year":"1968","journal-title":"Journal of the Royal Statistical Society, Series B: Methodological"},{"year":"1976","key":"3"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.888340"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/tifs.2013.2248727"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2007.01.013"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2013.09.002"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2005.07.003"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/s0020-0255(03)00172-5"},{"issue":"7","key":"10","first-page":"85","volume":"2","year":"1986","journal-title":"Artificial Intelligence"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/S1566-2535(02)00053-2"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0255(87)90007-7"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/s0167-9236(99)00084-6"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2004.04.015"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/s1566-2535(01)00026-4"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2006.05.002"},{"issue":"12","key":"18","first-page":"1856","volume":"24","year":"2009","journal-title":"Control and Decision"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2011.06.002"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/s0020-0255(03)00072-0"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2004.05.003"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2005.06.008"},{"issue":"1","key":"24","first-page":"338","volume":"8","year":"1965","journal-title":"Information and Computation"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2015\/509385.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2015\/509385.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2015\/509385.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,8]],"date-time":"2024-06-08T01:57:25Z","timestamp":1717811845000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/js\/2015\/509385\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":22,"alternative-id":["509385","509385"],"URL":"https:\/\/doi.org\/10.1155\/2015\/509385","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"type":"print","value":"1687-725X"},{"type":"electronic","value":"1687-7268"}],"subject":[],"published":{"date-parts":[[2015]]}}}