A novel evidence combination method based on stochastic approach for link-structure analysis algorithm and Lance-Williams distance
In response to the traditional Dempster–Shafer (D-S) combination rule that cannot handle highly conflicting evidence, an evidence combination method based on the stochastic approach for link-structure analysis (SALSA) algorithm combined with Lance-Williams distance is proposed. Firstly, the degree o...
Uloženo v:
| Vydáno v: | PeerJ. Computer science Ročník 9; s. e1307 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
United States
PeerJ. Ltd
18.04.2023
PeerJ Inc |
| Témata: | |
| ISSN: | 2376-5992, 2376-5992 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | In response to the traditional Dempster–Shafer (D-S) combination rule that cannot handle highly conflicting evidence, an evidence combination method based on the stochastic approach for link-structure analysis (SALSA) algorithm combined with Lance-Williams distance is proposed. Firstly, the degree of conflict between evidences is calculated based on the number of correlation coefficients between evidences. Then, the evidences with a number of correlation coefficients greater than the average number of correlation coefficients of evidence are connected to construct an evidence association network. The authority weight of the evidence is calculated based on the number of citations in the concept of SALSA algorithm combined with the support of the evidence. Subsequently, the Lance-Williams distance between the evidences is calculated and transformed into support of the evidence. Next, the authority weight and support of evidence are combined to jointly construct a novel correction coefficient to correct the evidence. Finally, the corrected evidence is fused using the D-S combination rule to obtain the final fusion result. The numerical results verify that the method proposed in this paper can effectively solve the problem of the traditional D-S combination rule being unable to handle highly conflicting evidence. |
|---|---|
| AbstractList | In response to the traditional Dempster–Shafer (D-S) combination rule that cannot handle highly conflicting evidence, an evidence combination method based on the stochastic approach for link-structure analysis (SALSA) algorithm combined with Lance-Williams distance is proposed. Firstly, the degree of conflict between evidences is calculated based on the number of correlation coefficients between evidences. Then, the evidences with a number of correlation coefficients greater than the average number of correlation coefficients of evidence are connected to construct an evidence association network. The authority weight of the evidence is calculated based on the number of citations in the concept of SALSA algorithm combined with the support of the evidence. Subsequently, the Lance-Williams distance between the evidences is calculated and transformed into support of the evidence. Next, the authority weight and support of evidence are combined to jointly construct a novel correction coefficient to correct the evidence. Finally, the corrected evidence is fused using the D-S combination rule to obtain the final fusion result. The numerical results verify that the method proposed in this paper can effectively solve the problem of the traditional D-S combination rule being unable to handle highly conflicting evidence. In response to the traditional Dempster-Shafer (D-S) combination rule that cannot handle highly conflicting evidence, an evidence combination method based on the stochastic approach for link-structure analysis (SALSA) algorithm combined with Lance-Williams distance is proposed. Firstly, the degree of conflict between evidences is calculated based on the number of correlation coefficients between evidences. Then, the evidences with a number of correlation coefficients greater than the average number of correlation coefficients of evidence are connected to construct an evidence association network. The authority weight of the evidence is calculated based on the number of citations in the concept of SALSA algorithm combined with the support of the evidence. Subsequently, the Lance-Williams distance between the evidences is calculated and transformed into support of the evidence. Next, the authority weight and support of evidence are combined to jointly construct a novel correction coefficient to correct the evidence. Finally, the corrected evidence is fused using the D-S combination rule to obtain the final fusion result. The numerical results verify that the method proposed in this paper can effectively solve the problem of the traditional D-S combination rule being unable to handle highly conflicting evidence.In response to the traditional Dempster-Shafer (D-S) combination rule that cannot handle highly conflicting evidence, an evidence combination method based on the stochastic approach for link-structure analysis (SALSA) algorithm combined with Lance-Williams distance is proposed. Firstly, the degree of conflict between evidences is calculated based on the number of correlation coefficients between evidences. Then, the evidences with a number of correlation coefficients greater than the average number of correlation coefficients of evidence are connected to construct an evidence association network. The authority weight of the evidence is calculated based on the number of citations in the concept of SALSA algorithm combined with the support of the evidence. Subsequently, the Lance-Williams distance between the evidences is calculated and transformed into support of the evidence. Next, the authority weight and support of evidence are combined to jointly construct a novel correction coefficient to correct the evidence. Finally, the corrected evidence is fused using the D-S combination rule to obtain the final fusion result. The numerical results verify that the method proposed in this paper can effectively solve the problem of the traditional D-S combination rule being unable to handle highly conflicting evidence. |
| ArticleNumber | e1307 |
| Audience | Academic |
| Author | Wu, Kefeng Tang, Qi Xiao, Jianyu |
| Author_xml | – sequence: 1 givenname: Qi surname: Tang fullname: Tang, Qi organization: School of Computer Science and Technology, Huaibei Normal University, HuaiBei, AnHui, China – sequence: 2 givenname: Jianyu surname: Xiao fullname: Xiao, Jianyu organization: School of Computer Science and Technology, Huaibei Normal University, HuaiBei, AnHui, China – sequence: 3 givenname: Kefeng surname: Wu fullname: Wu, Kefeng organization: School of Computer Science and Technology, Huaibei Normal University, HuaiBei, AnHui, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37346698$$D View this record in MEDLINE/PubMed |
| BookMark | eNp1ks-PEyEUxydmjbvWPXo1JF7Ww1QYZmB6Ms3GH02amOgmHgkDb1pWBiowjXv1L5dp183WKByAx-d9eY98nxdnzjsoipcEzzkn_O0OINyWKs4JxfxJcVFRzspmsajOHu3Pi8sYbzHGpCF5LJ4V55TTmrFFe1H8WiLn92AR7I0GpwApP3TGyWS8QwOkrdeokxE0yueYvNrKmIxCcrcLXqot6n1A1rjvZUxhVGkMgKST9i6aiKTd-GDSdsghjdYy65ffjLVGDhFpE9MUeVE87aWNcHm_zoqbD-9vrj-V688fV9fLdamapkklpVjy3ATVmGvKCZNVr2XPgGpKFGVKUsZrjkExtahlzUjHO9Xnn6GKt0Bnxeooq728FbtgBhnuhJdGHAI-bIQMuTMLQnMGXdO3La7auqqarm4YgQUQOr3FcNZ6d9Tajd0AWoFLQdoT0dMbZ7Zi4_eCZEVcE54Vru4Vgv8xQkxiMFGBtdKBH6Oo2qrlvGL5yVnx-ohuZK7NuN5nSTXhYslrhqsGN1NJ839QeWoYjMq26U2OnyS8OUnITIKfaSPHGMXq65dT9tXjfh8a_eOjDJRHQAUfY4D-ASFYTFYVB6sKFcVk1czTv3hl0sFzuWpj_5P1GzTo7q0 |
| CitedBy_id | crossref_primary_10_3390_s24010123 crossref_primary_10_1016_j_cmpb_2024_108043 crossref_primary_10_3390_s23115141 |
| Cites_doi | 10.3969/j.issn.1001-3695.2016.10.026 10.1080/00401706.1978.10489628 10.12263/DZXB.20190086 10.1016/j.dss.2004.04.015 10.19708/j.ckjs.2021.07.254 10.13873/j.1000-97872007.09.037 10.7500/AEPS200904180 10.14257/ijeic.2012.3.1.04 10.3321/j.issn:1001-9014.2004.01.006 10.13195/j.cd.2000.05.28.zhangshy.007 10.3321/j.issn:0372-2112.2000.08.036 10.16337/j.1004-9037.2015.06.007 10.1016/0020-0255(87)90007-7 10.1109/TFUZZ.2021.3057993 10.16526/j.cnki.11-4762/tp.2006.04.008 10.14107/j.cnki.kzgc.20180590 10.3969/j.issn.1671-637X.2010.04.002 10.1016/S0167-9236(99)00084-6 10.3969/j.issn.1000-1093.2018.02.023 10.3969/j.issn.1003-3106.2021.10.021 10.1109/ACCESS.2021.3053402 10.1214/aoms/1177698950 10.13501/j.cnki.42-1569/n.2018.06.010 10.1016/S1389-1286(00)00034-7 10.3969/j.issn.1672-9722.2019.03.012 10.1016/S0169-7552(98)00110-X 10.3321/j.issn:0372-2112.2009.07.032 10.11999/JEIT150086 10.1145/324133.324140 10.3390/s17040928 |
| ContentType | Journal Article |
| Copyright | 2023 Tang et al. COPYRIGHT 2023 PeerJ. Ltd. 2023 Tang et al. 2023 Tang et al. |
| Copyright_xml | – notice: 2023 Tang et al. – notice: COPYRIGHT 2023 PeerJ. Ltd. – notice: 2023 Tang et al. 2023 Tang et al. |
| DBID | AAYXX CITATION NPM ISR 7X8 5PM DOA |
| DOI | 10.7717/peerj-cs.1307 |
| DatabaseName | CrossRef PubMed Gale In Context: Science MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitleList | PubMed MEDLINE - Academic CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 2376-5992 |
| ExternalDocumentID | oai_doaj_org_article_d76eb5f880284225b4561e9e133d3160 PMC10280417 A746025050 37346698 10_7717_peerj_cs_1307 |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: The National Natural Science Foundation of China grantid: 62006091 |
| GroupedDBID | 53G 5VS 8FE 8FG AAFWJ AAYXX ABUWG ADBBV AFFHD AFKRA AFPKN ALMA_UNASSIGNED_HOLDINGS ARAPS AZQEC BCNDV BENPR BGLVJ BPHCQ CCPQU CITATION DWQXO FRP GNUQQ GROUPED_DOAJ HCIFZ IAO ICD IEA ISR ITC K6V K7- M~E OK1 P62 PHGZM PHGZT PIMPY PQGLB PQQKQ PROAC RPM 3V. ARCSS H13 M0N NPM 7X8 PUEGO 5PM |
| ID | FETCH-LOGICAL-c555t-330a70013d07d3716a2fdaf6e3d31c36ca367470ec6c94a461b7bcf1303c78e3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 3 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000996336700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2376-5992 |
| IngestDate | Fri Oct 03 12:44:07 EDT 2025 Tue Nov 04 02:06:47 EST 2025 Fri Sep 05 11:16:05 EDT 2025 Tue Nov 11 10:28:22 EST 2025 Tue Nov 04 18:01:46 EST 2025 Thu Nov 13 16:45:47 EST 2025 Thu Jan 02 22:52:23 EST 2025 Sat Nov 29 05:30:56 EST 2025 Tue Nov 18 22:26:50 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Correlation coefficient SALSA algorithm D-S combination rule Lance-Williams distance |
| Language | English |
| License | https://creativecommons.org/licenses/by/4.0 2023 Tang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c555t-330a70013d07d3716a2fdaf6e3d31c36ca367470ec6c94a461b7bcf1303c78e3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://doaj.org/article/d76eb5f880284225b4561e9e133d3160 |
| PMID | 37346698 |
| PQID | 2828772613 |
| PQPubID | 23479 |
| PageCount | e1307 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_d76eb5f880284225b4561e9e133d3160 pubmedcentral_primary_oai_pubmedcentral_nih_gov_10280417 proquest_miscellaneous_2828772613 gale_infotracmisc_A746025050 gale_infotracacademiconefile_A746025050 gale_incontextgauss_ISR_A746025050 pubmed_primary_37346698 crossref_primary_10_7717_peerj_cs_1307 crossref_citationtrail_10_7717_peerj_cs_1307 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-04-18 |
| PublicationDateYYYYMMDD | 2023-04-18 |
| PublicationDate_xml | – month: 04 year: 2023 text: 2023-04-18 day: 18 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: San Diego, USA |
| PublicationTitle | PeerJ. Computer science |
| PublicationTitleAlternate | PeerJ Comput Sci |
| PublicationYear | 2023 |
| Publisher | PeerJ. Ltd PeerJ Inc |
| Publisher_xml | – name: PeerJ. Ltd – name: PeerJ Inc |
| References | Ye (10.7717/peerj-cs.1307/ref-28) 2015; 30 Gao (10.7717/peerj-cs.1307/ref-8) 2021; 99 Li (10.7717/peerj-cs.1307/ref-17) 2022; 41 Lempel (10.7717/peerj-cs.1307/ref-15) 2000; 33 Xu (10.7717/peerj-cs.1307/ref-26) 2018; 39 Kleinberg (10.7717/peerj-cs.1307/ref-14) 1999; 46 Tang (10.7717/peerj-cs.1307/ref-23) 2017; 17 Deng (10.7717/peerj-cs.1307/ref-6) 2005; 38 Brin (10.7717/peerj-cs.1307/ref-3) 1998; 30 Li (10.7717/peerj-cs.1307/ref-16) 2002; 17 Hu (10.7717/peerj-cs.1307/ref-12) 2016; 33 Han (10.7717/peerj-cs.1307/ref-10) 2010; 17 Murphy (10.7717/peerj-cs.1307/ref-18) 2000; 29 Tian (10.7717/peerj-cs.1307/ref-24) 2021; 28 Yager (10.7717/peerj-cs.1307/ref-27) 1987; 41 Cao (10.7717/peerj-cs.1307/ref-4) 2006; 14 Zhang (10.7717/peerj-cs.1307/ref-31) 2000; 5 Ali (10.7717/peerj-cs.1307/ref-1) 2012; 3 Bo (10.7717/peerj-cs.1307/ref-2) 2021; 9 Xu (10.7717/peerj-cs.1307/ref-25) 2007; 26 Hu (10.7717/peerj-cs.1307/ref-11) 2009; 37 Chen (10.7717/peerj-cs.1307/ref-5) 2021; 49 Guo (10.7717/peerj-cs.1307/ref-9) 2015; 37 Petturiti (10.7717/peerj-cs.1307/ref-19) 2017; 458 Huang (10.7717/peerj-cs.1307/ref-13) 2018; 36 Shafer (10.7717/peerj-cs.1307/ref-21) 2020 Ding (10.7717/peerj-cs.1307/ref-7) 2019; 47 Yong (10.7717/peerj-cs.1307/ref-29) 2011; 1 Zhang (10.7717/peerj-cs.1307/ref-30) 2009; 33 Sun (10.7717/peerj-cs.1307/ref-22) 2000; 28 Qian (10.7717/peerj-cs.1307/ref-20) 2021; 51 |
| References_xml | – volume: 33 issue: 10 year: 2016 ident: 10.7717/peerj-cs.1307/ref-12 article-title: An improved approach to D-S evidence theory based on iterative synthesis publication-title: Computer Application Research doi: 10.3969/j.issn.1001-3695.2016.10.026 – start-page: 106 volume-title: A mathematical theory of evidence year: 2020 ident: 10.7717/peerj-cs.1307/ref-21 doi: 10.1080/00401706.1978.10489628 – volume: 49 start-page: 125 issue: 1 year: 2021 ident: 10.7717/peerj-cs.1307/ref-5 article-title: Research on evidence synthesis method based on conflict relationship network publication-title: Journal of Electronics doi: 10.12263/DZXB.20190086 – volume: 38 start-page: 489 issue: 3 year: 2005 ident: 10.7717/peerj-cs.1307/ref-6 article-title: Combining belief functions based on distance of evidence publication-title: Decision Support Systems doi: 10.1016/j.dss.2004.04.015 – volume: 41 start-page: 26 issue: 3 year: 2022 ident: 10.7717/peerj-cs.1307/ref-17 article-title: Application of D-S evidence theory in missile health status assessment publication-title: Measurement and Control Technology doi: 10.19708/j.ckjs.2021.07.254 – volume: 26 issue: 9 year: 2007 ident: 10.7717/peerj-cs.1307/ref-25 article-title: Research on D-S synthesis rules for open recognition framework publication-title: Sensors and Microsystems doi: 10.13873/j.1000-97872007.09.037 – volume: 33 start-page: 1 issue: 23 year: 2009 ident: 10.7717/peerj-cs.1307/ref-30 article-title: Risk assessment of power system based on evidence theory and utility theory publication-title: Power System Automation doi: 10.7500/AEPS200904180 – volume: 3 start-page: 35 issue: 1 year: 2012 ident: 10.7717/peerj-cs.1307/ref-1 article-title: A new combination rule for conflict problem of dempster-shafer evidence theory publication-title: International Journal of Energy, Information and Communications doi: 10.14257/ijeic.2012.3.1.04 – volume: 17 start-page: 33 issue: 1 year: 2002 ident: 10.7717/peerj-cs.1307/ref-16 article-title: An effective evidence-theoretic synthesis formula publication-title: Data Acquisition and Processing – volume: 1 start-page: 27 year: 2011 ident: 10.7717/peerj-cs.1307/ref-29 article-title: A new approach to conflict of evidence analysis publication-title: Control Theory and Applications doi: 10.3321/j.issn:1001-9014.2004.01.006 – volume: 5 start-page: 540 year: 2000 ident: 10.7717/peerj-cs.1307/ref-31 article-title: A new combination rule for evidential reasoning publication-title: Control and Decision Making doi: 10.13195/j.cd.2000.05.28.zhangshy.007 – volume: 28 start-page: 117 issue: 8 year: 2000 ident: 10.7717/peerj-cs.1307/ref-22 article-title: A new synthetic formulation based on evidence theory publication-title: Journal of Electronics doi: 10.3321/j.issn:0372-2112.2000.08.036 – volume: 30 start-page: 1196 issue: 6 year: 2015 ident: 10.7717/peerj-cs.1307/ref-28 article-title: Application of improved evidence classification synthesis method in crop growth environment assessment publication-title: Data Collection and Processing doi: 10.16337/j.1004-9037.2015.06.007 – volume: 41 start-page: 93 issue: 2 year: 1987 ident: 10.7717/peerj-cs.1307/ref-27 article-title: On the Dempster-Shafer framework and new combination rules publication-title: Information Sciences doi: 10.1016/0020-0255(87)90007-7 – volume: 99 start-page: 1 year: 2021 ident: 10.7717/peerj-cs.1307/ref-8 article-title: Quantum Pythagorean Fuzzy Evidence Theory (QPFET): a negation of quantum mass function view publication-title: IEEE Transactions on Fuzzy Systems doi: 10.1109/TFUZZ.2021.3057993 – volume: 14 start-page: 443 issue: 4 year: 2006 ident: 10.7717/peerj-cs.1307/ref-4 article-title: Research on parallel reasoning mechanism based on multi-agent in fault diagnosis system publication-title: Computer Measurement and Control doi: 10.16526/j.cnki.11-4762/tp.2006.04.008 – volume: 28 start-page: 565 issue: 3 year: 2021 ident: 10.7717/peerj-cs.1307/ref-24 article-title: An iterative modified conflict evidence improvement method publication-title: Control Engineering doi: 10.14107/j.cnki.kzgc.20180590 – volume: 17 issue: 4 year: 2010 ident: 10.7717/peerj-cs.1307/ref-10 article-title: A combinatorial approach for effective handling of conflicting evidence publication-title: Electro-Optics and Control doi: 10.3969/j.issn.1671-637X.2010.04.002 – volume: 29 start-page: 1 issue: 1 year: 2000 ident: 10.7717/peerj-cs.1307/ref-18 article-title: Combining belief functions when evidence conflicts publication-title: Decision Support Systems doi: 10.1016/S0167-9236(99)00084-6 – volume: 39 start-page: 391 issue: 2 year: 2018 ident: 10.7717/peerj-cs.1307/ref-26 article-title: Missile quality state assessment based on multi-state Bayesian networks publication-title: Journal of Military Engineering doi: 10.3969/j.issn.1000-1093.2018.02.023 – volume: 51 start-page: 1157 issue: 10 year: 2021 ident: 10.7717/peerj-cs.1307/ref-20 article-title: A D-S fusion algorithm based on improved evidence similarity publication-title: Radio Engineering doi: 10.3969/j.issn.1003-3106.2021.10.021 – volume: 9 start-page: 19619 year: 2021 ident: 10.7717/peerj-cs.1307/ref-2 article-title: Modeling method for the coupling relations of microgrid cyber-physical systems driven by hybrid spatiotemporal events publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3053402 – volume: 458 start-page: 1214 issue: 2 year: 2017 ident: 10.7717/peerj-cs.1307/ref-19 article-title: Upper and lower conditional probabilities induced by a multivalued mapping publication-title: Journal of Mathematical Analysis and Applications doi: 10.1214/aoms/1177698950 – volume: 36 issue: 2 year: 2018 ident: 10.7717/peerj-cs.1307/ref-13 article-title: An improved approach to the synthesis of conflicting evidence publication-title: Journal of Hubei Academy of Nationalities: Natural Science Edition doi: 10.13501/j.cnki.42-1569/n.2018.06.010 – volume: 33 start-page: 387 issue: 1–6 year: 2000 ident: 10.7717/peerj-cs.1307/ref-15 article-title: The stochastic approach for link-structure analysis (SALSA) and the TKC effect publication-title: Computer Networks doi: 10.1016/S1389-1286(00)00034-7 – volume: 47 start-page: 543 issue: 3 year: 2019 ident: 10.7717/peerj-cs.1307/ref-7 article-title: A fault diagnosis method based on rough set and improved D-S evidence theory publication-title: Computer and Digital Engineering doi: 10.3969/j.issn.1672-9722.2019.03.012 – volume: 30 start-page: 107 issue: 1–7 year: 1998 ident: 10.7717/peerj-cs.1307/ref-3 article-title: The anatomy of a large-scale hypertextual web search engine publication-title: Computer Networks and ISDN Systems doi: 10.1016/S0169-7552(98)00110-X – volume: 37 start-page: 1578 issue: 7 year: 2009 ident: 10.7717/peerj-cs.1307/ref-11 article-title: An improved D-S algorithm with a new evidence conflict measure publication-title: Journal of Electronics doi: 10.3321/j.issn:0372-2112.2009.07.032 – volume: 37 start-page: 2040 issue: 9 year: 2015 ident: 10.7717/peerj-cs.1307/ref-9 article-title: A fast DSmT-DS approximate inference fusion method publication-title: Journal of Electronics and Information doi: 10.11999/JEIT150086 – volume: 46 start-page: 604 year: 1999 ident: 10.7717/peerj-cs.1307/ref-14 article-title: Authoritative sources in a hyperlinked environment publication-title: Journal of the ACM doi: 10.1145/324133.324140 – volume: 17 start-page: 928 issue: 4 year: 2017 ident: 10.7717/peerj-cs.1307/ref-23 article-title: A weighted belief entropy-based uncertainty measure for multi-sensor data fusion publication-title: Sensors doi: 10.3390/s17040928 |
| SSID | ssj0001511119 |
| Score | 2.258062 |
| Snippet | In response to the traditional Dempster–Shafer (D-S) combination rule that cannot handle highly conflicting evidence, an evidence combination method based on... In response to the traditional Dempster-Shafer (D-S) combination rule that cannot handle highly conflicting evidence, an evidence combination method based on... |
| SourceID | doaj pubmedcentral proquest gale pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | e1307 |
| SubjectTerms | Algorithms Algorithms and Analysis of Algorithms Artificial Intelligence Correlation coefficient D-S combination rule Lance-Williams distance Methods SALSA algorithm Theory and Formal Methods |
| Title | A novel evidence combination method based on stochastic approach for link-structure analysis algorithm and Lance-Williams distance |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/37346698 https://www.proquest.com/docview/2828772613 https://pubmed.ncbi.nlm.nih.gov/PMC10280417 https://doaj.org/article/d76eb5f880284225b4561e9e133d3160 |
| Volume | 9 |
| WOSCitedRecordID | wos000996336700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2376-5992 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001511119 issn: 2376-5992 databaseCode: DOA dateStart: 20150101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2376-5992 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001511119 issn: 2376-5992 databaseCode: M~E dateStart: 20150101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 2376-5992 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001511119 issn: 2376-5992 databaseCode: P5Z dateStart: 20150527 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 2376-5992 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001511119 issn: 2376-5992 databaseCode: K7- dateStart: 20150527 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2376-5992 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001511119 issn: 2376-5992 databaseCode: BENPR dateStart: 20150527 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Publicly Available Content Database customDbUrl: eissn: 2376-5992 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001511119 issn: 2376-5992 databaseCode: PIMPY dateStart: 20150527 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Pb9MwFLZgcODCb0ZgVAYhuBAtqRM7OXaoExNaFY0dChfLsZ21qCRT0-7Igb-c9-ykaoQQFy6War9DbH_2e19tf4-QtwpVzKwVocmYBYKS5GFWjm3IdQbBCBOK5T7ZhJjNsvk8L_ZSfeGdMC8P7Afu2Ahuy7QCmMFGCuAr0ePb3AK3Mizmjq1HIt8jU_59MG4FuRfVFEBZjq-tXX8PdYvpj8XACTmt_j935D2XNLwuued_Th-S-13gSCf-gx-RW7Z-TB70SRlot0afkF8TWjc3dkVtly-UAqaA_roZoD5hNEXfZSj8htBPLxRqNdNeXZxCGEudqL_Xlt2uLVWddAlVq6tmvdwsfkCVoe4Bddj_ZUMNxqJQ85Rcnk4vP34Ku0QLoU7TdBMyFik8f2YmEoYBg1LjyqiKWxxizbhWjAPtiKzmOk9UwuNSlLpC96dFZtkzclA3tX1OqIg0j1VsValUUgL3rEohorEyKdMplAH50A-81J0IOebCWEkgIzhP0s2T1C2es4mAvNuZX3v1jb8ZnuAs7oxQNNtVAJRkByX5LygF5A1iQKIsRo33bq7Utm3l2ZcLOREJd9EiGL3vjKoGvlyr7hkD9B-VtAaWRwNLWLd60Py6h5rEJrzsVttm20pkwUB6INAKyKGH3q5jTLCE8zwLSDYA5aDnw5Z6uXCy4RhKRkksXvyPsXpJ7o0h3MNztTg7IgcASPuK3NU3m2W7HpHbYp6NyJ2T6ay4GLmlCeVnEUJ5_nMKZZF-g_bi7Lz4-hvc6kNT |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+novel+evidence+combination+method+based+on+stochastic+approach+for+link-structure+analysis+algorithm+and+Lance-Williams+distance&rft.jtitle=PeerJ.+Computer+science&rft.au=Tang%2C+Qi&rft.au=Xiao%2C+Jianyu&rft.au=Wu%2C+Kefeng&rft.date=2023-04-18&rft.pub=PeerJ.+Ltd&rft.issn=2376-5992&rft.eissn=2376-5992&rft.volume=9&rft.spage=e1307&rft_id=info:doi/10.7717%2Fpeerj-cs.1307&rft.externalDBID=ISR&rft.externalDocID=A746025050 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2376-5992&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2376-5992&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2376-5992&client=summon |