Multiobjective Programming Approaches to Obtain the Priority Vectors under Uncertain Probabilistic Dual Hesitant Fuzzy Preference Environment
This paper develops uncertain probabilistic dual hesitant fuzzy numbers (UPDHFN), which includes six types of dual hesitant fuzzy sets (DHFNs). Next, the UPDHFN is applied to the uncertain probabilistic dual hesitant fuzzy preference relation (UPDHFPR). Furthermore, the (acceptable) expected consist...
Uložené v:
| Vydané v: | International journal of computational intelligence systems Ročník 14; číslo 1; s. 1189 |
|---|---|
| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Springer
01.01.2021
|
| Predmet: | |
| ISSN: | 1875-6883, 1875-6883 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | This paper develops uncertain probabilistic dual hesitant fuzzy numbers (UPDHFN), which includes six types of dual hesitant fuzzy sets (DHFNs). Next, the UPDHFN is applied to the uncertain probabilistic dual hesitant fuzzy preference relation (UPDHFPR). Furthermore, the (acceptable) expected consistency, method of obtaining uncertain probabilistic information, and consistency-increasing iterative algorithm for flexible application of UPDHFPRs are explained respectively. Then, the UPDHFPRs and these approaches are applied to group decision-making procedure. Two operators are established to aggregate the UPDHFPRs and the integrated preference relations are also UPDHFPRs. In this model, due to the aggregated UPDHFPRs may be inconsistent. Thus an acceptable group consistency algorithm is designed. The group decision-making process is summarized under the UPDHFPR situation. Eventually, an illustrate example that selects the optimal alternative from three listed candidates is provided to verify our methods. |
|---|---|
| AbstractList | This paper develops uncertain probabilistic dual hesitant fuzzy numbers (UPDHFN), which includes six types of dual hesitant fuzzy sets (DHFNs). Next, the UPDHFN is applied to the uncertain probabilistic dual hesitant fuzzy preference relation (UPDHFPR). Furthermore, the (acceptable) expected consistency, method of obtaining uncertain probabilistic information, and consistency-increasing iterative algorithm for flexible application of UPDHFPRs are explained respectively. Then, the UPDHFPRs and these approaches are applied to group decision-making procedure. Two operators are established to aggregate the UPDHFPRs and the integrated preference relations are also UPDHFPRs. In this model, due to the aggregated UPDHFPRs may be inconsistent. Thus an acceptable group consistency algorithm is designed. The group decision-making process is summarized under the UPDHFPR situation. Eventually, an illustrate example that selects the optimal alternative from three listed candidates is provided to verify our methods. |
| Author | Shao, Songtao Zhang, Xiaohong |
| Author_xml | – sequence: 1 givenname: Songtao surname: Shao fullname: Shao, Songtao – sequence: 2 givenname: Xiaohong surname: Zhang fullname: Zhang, Xiaohong |
| BookMark | eNp9kc1uGyEURlGVSkmTvEBWvIDdyzDDwDJKkyZSqnSRdIv4uXawxmABjuS8Q9-52K6qqouuQPCdowvfJ3ISU0RCrhjMO6XY57Byocz9vGPAoZ8DsA_kjMlxmAkp-clf-1NyWcoKADrWA_T9Gfn5bTvVkOwKXQ1vSL_ntMxmvQ5xSa83m5yMe8VCa6JPtpoQaX3dh0LKoe7oj0alXOg2esz0JTrMh1CzWGPDFEoNjn7ZmoneYwnVxErvtu_vu5bABWZsBL2NbyGnuMZYL8jHhZkKXv5ez8nL3e3zzf3s8enrw83148zxYawzK7lwC4tOdMCZdcqrcdxf4YIpA90gBYIYpWfGu8E6rywfJQ5s7JUAgfycPBy9PpmV3uSwNnmnkwn6cJDyUpvcRp9Q98gsciUsB-y5HC1TXjChugGFAMubqzu6XE6ltGf98THQ-370oR_t9bEf3fppkPwHcu13WhGxZhOm_6G_AKXZnL8 |
| CitedBy_id | crossref_primary_10_3233_JIFS_233148 crossref_primary_10_1007_s40747_021_00497_5 crossref_primary_10_1155_2021_5522021 crossref_primary_10_1007_s41066_023_00397_8 crossref_primary_10_3390_axioms10030134 crossref_primary_10_1088_1742_6596_2442_1_012022 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION DOA |
| DOI | 10.2991/ijcis.d.210304.001 |
| DatabaseName | CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Open Access Full Text url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1875-6883 |
| ExternalDocumentID | oai_doaj_org_article_4e1be396b30e4387b19d616925e660b3 10_2991_ijcis_d_210304_001 |
| GroupedDBID | 0R~ 4.4 5GY AAFWJ AAJSJ AAKKN AASML AAYXX ABEEZ ABFIM ACACY ACGFS ACULB ADBBV ADCVX ADMSI AENEX AFFHD AFGXO AFKRA AFPKN AHDSZ ALMA_UNASSIGNED_HOLDINGS AQTUD ARAPS ARCSS AVBZW BCNDV BENPR BGLVJ C24 C6C CCPQU CITATION CS3 DU5 EBLON EBS EJD GROUPED_DOAJ GTTXZ H13 HCIFZ HZ~ IL9 IPNFZ J~4 K7- M4Z O9- OK1 PHGZM PHGZT PQGLB RIG SOJ TDBHL TFL TFW TR2 |
| ID | FETCH-LOGICAL-c357t-b836cfbec62031bc9d977c357ef19a02586e0678d1adc5bcd9b378e51749606e3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 6 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000657696200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1875-6883 |
| IngestDate | Fri Oct 03 12:44:03 EDT 2025 Sat Nov 29 02:36:52 EST 2025 Tue Nov 18 22:11:00 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c357t-b836cfbec62031bc9d977c357ef19a02586e0678d1adc5bcd9b378e51749606e3 |
| OpenAccessLink | https://doaj.org/article/4e1be396b30e4387b19d616925e660b3 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_4e1be396b30e4387b19d616925e660b3 crossref_primary_10_2991_ijcis_d_210304_001 crossref_citationtrail_10_2991_ijcis_d_210304_001 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-01-01 |
| PublicationDateYYYYMMDD | 2021-01-01 |
| PublicationDate_xml | – month: 01 year: 2021 text: 2021-01-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | International journal of computational intelligence systems |
| PublicationYear | 2021 |
| Publisher | Springer |
| Publisher_xml | – name: Springer |
| SSID | ssj0002140044 |
| Score | 2.2563822 |
| Snippet | This paper develops uncertain probabilistic dual hesitant fuzzy numbers (UPDHFN), which includes six types of dual hesitant fuzzy sets (DHFNs). Next, the... |
| SourceID | doaj crossref |
| SourceType | Open Website Enrichment Source Index Database |
| StartPage | 1189 |
| SubjectTerms | Group decision-making Multiplicative consistency Preference relation Priority vector Uncertain probabilistic dual hesitant fuzzy number |
| Title | Multiobjective Programming Approaches to Obtain the Priority Vectors under Uncertain Probabilistic Dual Hesitant Fuzzy Preference Environment |
| URI | https://doaj.org/article/4e1be396b30e4387b19d616925e660b3 |
| Volume | 14 |
| WOSCitedRecordID | wos000657696200001&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 Open Access Full Text customDbUrl: eissn: 1875-6883 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002140044 issn: 1875-6883 databaseCode: DOA dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1875-6883 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002140044 issn: 1875-6883 databaseCode: K7- dateStart: 20140101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central (subscription) customDbUrl: eissn: 1875-6883 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002140044 issn: 1875-6883 databaseCode: BENPR dateStart: 20140101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELYQYmDhjXjLAxsK2E7i2COPVpWQoAMgtsivSK2gRX0gwX_gP3PnpFAWWFgyJJeT5Tv7fNbd9xFybHxVcW5DUuXSJJnwLNGIOKSYCZUKXOmQRbKJ4uZGPT7q7hzVF9aE1fDA9cSdZQE0pVralIUsVYXl2ksutciDlMxGnE9W6LlkCvdgwdE3s7pLBnZcftbru9741J8K5NVCxGz-IxLNAfbHyNJeIyvNkZCe10NZJwthsEFWZ3QLtFl9m-QjNssObb_eo2i3Lq16huBDzxto8DCmkyG9tZjwUzjbgVBviPx09CFez48pNo2N6D1ojLUAqMVGlF0EbKZXUxhJB7kCYMZpe_r-_gYSMzBa2vpui9si9-3W3WUnadgUEpfmxSSxKpWuApNJAQvZOu3h6IefQsW1gaOPkgFDl-fGu9w6r21aqIBI1pjlhHSbLA6Gg7BDqHQ5M84YA9lhxrlRgvtcC-YFE8FmbJfw2cyWroEaR8aLpxJSDrRGGa1R-rK2BhbW7ZKTr39eaqCNX6Uv0GBfkgiSHV-A65SN65R_uc7efyjZJ8sCy1zircwBWZyMpuGQLLnXSW88OopeCc_rIvkEglDqWw |
| 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=Multiobjective+Programming+Approaches+to+Obtain+the+Priority+Vectors+under+Uncertain+Probabilistic+Dual+Hesitant+Fuzzy+Preference+Environment&rft.jtitle=International+journal+of+computational+intelligence+systems&rft.au=Shao%2C+Songtao&rft.au=Zhang%2C+Xiaohong&rft.date=2021-01-01&rft.issn=1875-6883&rft.eissn=1875-6883&rft.volume=14&rft.issue=1&rft.spage=1189&rft_id=info:doi/10.2991%2Fijcis.d.210304.001&rft.externalDBID=n%2Fa&rft.externalDocID=10_2991_ijcis_d_210304_001 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1875-6883&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1875-6883&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1875-6883&client=summon |