{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T06:51:04Z","timestamp":1779000664771,"version":"3.51.4"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2021,3,13]],"date-time":"2021-03-13T00:00:00Z","timestamp":1615593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,3,13]],"date-time":"2021-03-13T00:00:00Z","timestamp":1615593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1007\/s10489-021-02279-5","type":"journal-article","created":{"date-parts":[[2021,3,13]],"date-time":"2021-03-13T08:02:27Z","timestamp":1615622547000},"page":"7614-7624","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["An improved evidence fusion algorithm in multi-sensor systems"],"prefix":"10.1007","volume":"51","author":[{"given":"Kaiyi","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rutai","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manman","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7267-5283","authenticated-orcid":false,"given":"Ruizhi","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,3,13]]},"reference":[{"key":"2279_CR1","doi-asserted-by":"publisher","unstructured":"Wu Y, Patterson A, Santos R D, Vijaykumar N L (2014) Topology preserving mapping for maritime anomaly detection, pp 313\u2013326. https:\/\/doi.org\/10.1007\/978-3-319-09153-2_24","DOI":"10.1007\/978-3-319-09153-2_24"},{"issue":"1","key":"2279_CR2","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1257\/aer.104.1.123","volume":"104","author":"M Callen","year":"2014","unstructured":"Callen M, Isaqzadeh M, Long J D, Sprenger C (2014) Violence and Risk Preference: Experimental Evidence from Afghanistan. Amer Econ Rev 104(1):123\u2013148. https:\/\/doi.org\/10.1257\/aer.104.1.123","journal-title":"Amer Econ Rev"},{"key":"2279_CR3","doi-asserted-by":"publisher","unstructured":"Abdulhafiz W, Khamis A (2014) Bayesian approach with pre- and post-filtering to handle data uncertainty and inconsistency in mobile robot local positioning. J Intell Syst 23. https:\/\/doi.org\/10.1515\/jisys-2013-0078","DOI":"10.1515\/jisys-2013-0078"},{"key":"2279_CR4","first-page":"1040","volume":"35","author":"Meng W","year":"2003","unstructured":"Meng W, Hong B-R, Han X-D (2003) Lunar robot information fusion based on D-S evidence theory. J Harbin Instit Technol 35:1040\u20132","journal-title":"J Harbin Instit Technol"},{"key":"2279_CR5","unstructured":"Koch W (2013) Tracking and sensor data fusion: Methodological framework and selected applications, vol 8"},{"key":"#cr-split#-2279_CR6.1","doi-asserted-by":"crossref","unstructured":"Filipowicz W (2014) Mathematical Theory of Evidence in Navigation. In: Cuzzolin F","DOI":"10.1007\/978-3-319-11191-9_22"},{"key":"#cr-split#-2279_CR6.2","unstructured":"(ed) Belief Functions: Theory and Applications. Third International Conference, BELIEF 2014. Proceedings: LNCS 8764. Belief Functions: Theory and Applications. Third International Conference, BELIEF 2014, Oxford. Springer International Publishing, Cham, p 199-208"},{"key":"2279_CR7","doi-asserted-by":"publisher","unstructured":"Jin Z, Wang X, Gui Q, Liu B, Song S (2013) Improving diagnostic accuracy using multiparameter patient monitoring based on data fusion in the cloud. Lect Notes Electr Eng 276. https:\/\/doi.org\/10.1007\/978-3-642-40861-8_66","DOI":"10.1007\/978-3-642-40861-8_66"},{"key":"2279_CR8","doi-asserted-by":"publisher","unstructured":"Fortino G, Galzarano S, Gravina R, Li W (2014) A framework for collaborative computing and multi-sensor data fusion in body sensor networks. Inf Fusion 22. https:\/\/doi.org\/10.1016\/j.inffus.2014.03.005","DOI":"10.1016\/j.inffus.2014.03.005"},{"key":"2279_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2014\/945894","volume":"2014","author":"D Yang","year":"2014","unstructured":"Yang D, Zhenghai W, Lin X, Tiankui Z (2014) Online bayesian data fusion in environment monitoring sensor networks. Int J Distrib Sens Netw 2014:1\u201310. https:\/\/doi.org\/10.1155\/2014\/945894","journal-title":"Int J Distrib Sens Netw"},{"key":"2279_CR10","doi-asserted-by":"crossref","unstructured":"Vinodini Ramesh M (2018) Wireless sensor network for disaster monitoring","DOI":"10.1109\/ICCCI.2017.8117798"},{"issue":"1-4","key":"2279_CR11","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1023\/A:1016740830286","volume":"32","author":"D Dubois","year":"2001","unstructured":"Dubois D, Prade H (2001) Possibility theory, probability theory and multiple-valued logics: A clarification. Ann Math Artif Intell 32(1-4):35\u201366. https:\/\/doi.org\/10.1023\/A:1016740830286","journal-title":"Ann Math Artif Intell"},{"issue":"4","key":"2279_CR12","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1198\/tas.2011.10191","volume":"65","author":"LD Broemeling","year":"2011","unstructured":"Broemeling L D (2011) An account of early statistical inference in arab cryptology. Amer Stat 65(4):255\u2013257. https:\/\/doi.org\/10.1198\/tas.2011.10191","journal-title":"Amer Stat"},{"issue":"5-6","key":"2279_CR13","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1002\/mana.19670330503","volume":"33","author":"D Klaua","year":"1967","unstructured":"Klaua D (1967) Ein ansatz zur mehrwertigen mengenlehre. Math Nachrichten 33(5-6):273\u2013296. https:\/\/doi.org\/10.1002\/mana.19670330503","journal-title":"Math Nachrichten"},{"issue":"5","key":"2279_CR14","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z Pawlak","year":"1982","unstructured":"Pawlak Z (1982) Rough sets. Int J Comput Inf Sci 11(5):341\u2013356. https:\/\/doi.org\/10.1007\/BF01001956","journal-title":"Int J Comput Inf Sci"},{"key":"2279_CR15","doi-asserted-by":"publisher","unstructured":"Dempster A P (1967) Upper and lower probabilities induced by a multivalued mapping, pp 57\u201372. https:\/\/doi.org\/10.1007\/978-3-540-44792-4_3","DOI":"10.1007\/978-3-540-44792-4_3"},{"key":"2279_CR16","doi-asserted-by":"crossref","unstructured":"Shafer G (1976) A mathematical theory of evidence, vol 42","DOI":"10.1515\/9780691214696"},{"issue":"1","key":"2279_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0167-9236(99)00084-6","volume":"29","author":"CK Murphy","year":"2000","unstructured":"Murphy C K (2000) Combining belief functions when evidence conflicts. Decis Support Syst 29 (1):1\u20139. https:\/\/doi.org\/10.1016\/S0167-9236(99)00084-6","journal-title":"Decis Support Syst"},{"issue":"3","key":"2279_CR18","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.dss.2004.04.015","volume":"38","author":"D Yong","year":"2004","unstructured":"Yong D, WenKang S, ZhenFu Z, Qi L (2004) Combining belief functions based on distance of evidence. Decis Support Syst 38(3):489\u2013493. https:\/\/doi.org\/10.1016\/j.dss.2004.04.015","journal-title":"Decis Support Syst"},{"key":"2279_CR19","doi-asserted-by":"publisher","first-page":"9562","DOI":"10.3390\/s140609562","volume":"14","author":"Z Zhang","year":"2014","unstructured":"Zhang Z, Liu T, Chen D, Zhang W (2014) Novel algorithm for identifying and fusing conflicting data in wireless sensor networks. Sens (Basel, Switzerland) 14:9562\u20139581. https:\/\/doi.org\/10.3390\/s140609562","journal-title":"Sens (Basel, Switzerland)"},{"key":"2279_CR20","doi-asserted-by":"publisher","first-page":"113","DOI":"10.3390\/s16010113","volume":"16","author":"K Yuan","year":"2016","unstructured":"Yuan K, Xiao F, Fei L, Kang B, Deng Y (2016) Modeling sensor reliability in fault diagnosis based on evidence theory. Sensors 16:113. https:\/\/doi.org\/10.3390\/s16010113","journal-title":"Sensors"},{"key":"2279_CR21","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.inffus.2018.04.003","volume":"46","author":"F Xiao","year":"2019","unstructured":"Xiao F (2019) Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy. Inf Fusion 46:23\u201332. https:\/\/doi.org\/10.1016\/j.inffus.2018.04.003","journal-title":"Inf Fusion"},{"issue":"1","key":"2279_CR22","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/18.61115","volume":"37","author":"J Lin","year":"1991","unstructured":"Lin J (1991) Divergence measures based on the shannon entropy. IEEE Trans Inf Theory 37 (1):145\u2013151. https:\/\/doi.org\/10.1109\/18.61115","journal-title":"IEEE Trans Inf Theory"},{"issue":"2","key":"2279_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1119\/1.1990764","volume":"14","author":"RT Cox","year":"1946","unstructured":"Cox R T (1946) Probability, frequency, and reasonable expectation. Am J Phys 14(2):1\u201313. https:\/\/doi.org\/10.2307\/2272983","journal-title":"Am J Phys"},{"issue":"1","key":"2279_CR24","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/S0378-4371(03)00566-1","volume":"329","author":"PW Lamberti","year":"2003","unstructured":"Lamberti P W, Majtey A P (2003) Non-logarithmic jensen-shannon divergence. Physica A: Stat Mech Appl 329(1):81\u201390. https:\/\/doi.org\/10.1016\/S0378-4371(03)00566-1","journal-title":"Physica A: Stat Mech Appl"},{"issue":"1","key":"2279_CR25","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1214\/aoms\/1177729694","volume":"22","author":"S Kullback","year":"1951","unstructured":"Kullback S, Leibler R A (1951) On information and sufficiency. Ann Math Statist 22(1):79\u201386. https:\/\/doi.org\/10.1214\/aoms\/1177729694","journal-title":"Ann Math Statist"},{"key":"2279_CR26","doi-asserted-by":"publisher","first-page":"377","DOI":"10.2307\/1527125","volume":"17","author":"S Kullback","year":"1962","unstructured":"Kullback S (1962) Information theory and statistics. Popul (French Ed) 17:377. https:\/\/doi.org\/10.2307\/1527125","journal-title":"Popul (French Ed)"},{"key":"2279_CR27","doi-asserted-by":"publisher","first-page":"549","DOI":"10.1016\/j.chaos.2016.07.014","volume":"91","author":"Y Deng","year":"2016","unstructured":"Deng Y (2016) Deng entropy. Chaos Solitons Fractals 91:549\u2013553. https:\/\/doi.org\/10.1016\/j.chaos.2016.07.014","journal-title":"Chaos Solitons Fractals"},{"key":"2279_CR28","doi-asserted-by":"publisher","first-page":"18284","DOI":"10.1109\/ACCESS.2019.2896286","volume":"7","author":"H Cui","year":"2019","unstructured":"Cui H, Liu Q, Zhang J, Kang B (2019) An improved deng entropy and its application in pattern recognition. IEEE Access 7:18284\u201318292. https:\/\/doi.org\/10.1109\/ACCESS.2019.2896286.","journal-title":"IEEE Access"},{"key":"2279_CR29","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1016\/j.patrec.2005.08.025","volume":"27","author":"F Fan","year":"2006","unstructured":"Fan F, Zuo M (2006) Fault diagnosis of machines based on d-s evidence theory. part 1: D-s evidence theory and its improvement. Pattern Recogn Lett 27:366\u2013376. https:\/\/doi.org\/10.1016\/j.patrec.2005.08.025","journal-title":"Pattern Recogn Lett"},{"issue":"2","key":"2279_CR30","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/0020-0255(87)90007-7","volume":"41","author":"RR Yager","year":"1987","unstructured":"Yager R R (1987) On the dempster-shafer framework and new combination rules. Inf Sci 41 (2):93\u2013137. https:\/\/doi.org\/10.1016\/0020-0255(87)90007-7","journal-title":"Inf Sci"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02279-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-021-02279-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02279-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T10:38:22Z","timestamp":1671619102000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-021-02279-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,13]]},"references-count":31,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["2279"],"URL":"https:\/\/doi.org\/10.1007\/s10489-021-02279-5","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,13]]},"assertion":[{"value":"15 February 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 March 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}