A novel technique for multiple attribute group decision making in interval-valued hesitant fuzzy environments with incomplete weight information
We propose a new technique for handling multiple attribute group decision making (MAGDM) problems in interval-valued hesitant fuzzy (IVHF) environments with imperfect weight information. Firstly, the quadratic programming model is given to acquire the weights of decision makers by utilizing maximum...
Gespeichert in:
| Veröffentlicht in: | Journal of ambient intelligence and humanized computing 2019-06, Vol.10 (6), p.2417-2433 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2433 |
|---|---|
| container_issue | 6 |
| container_start_page | 2417 |
| container_title | Journal of ambient intelligence and humanized computing |
| container_volume | 10 |
| creator | Zhang, Chunqin Wang, Chao Zhang, Zhiming Tian, Dazeng |
| description | We propose a new technique for handling multiple attribute group decision making (MAGDM) problems in interval-valued hesitant fuzzy (IVHF) environments with imperfect weight information. Firstly, the quadratic programming model is given to acquire the weights of decision makers by utilizing maximum group consensus between individual and group IVHF decision matrices. Then, the maximum deviation method is employed to build an optimum model, where the best weights for attributes are obtained. Subsequently, an IVHF–TOPSIS approach is developed to obtain a solution that simultaneously has the smallest distance from the IVHF-positive ideal solution (IVHFPIS) and the largest distance from the IVHF-negative ideal solution (IVHFNIS). Ultimately, the novel method is verified with an investment example. |
| doi_str_mv | 10.1007/s12652-018-0912-2 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2920009139</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2920009139</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-13396025ae241f07c89b8b230f10d1018b84ffcdf85e5e1bcc298a97d7dc36e43</originalsourceid><addsrcrecordid>eNp1kMFqGzEQhkVpocbxA_Qm6HlTjXbXu3s0JmkDgVyas9BqR7bcXcmRtA7JU-SRM8YlPVVIjBDzf4M-xr6BuAYhmh8J5LqWhYC2EB3IQn5iC2jXbVFDVX_-uJfNV7ZK6SBolV0JAAv2tuE-nHDkGc3eu6cZuQ2RT_OY3XFErnOOrp8z8l0M85EPaFxywfNJ_3F-x52nnTGe9FjQmXHge0wua5-5nV9fXzj6k4vBT-hz4s8u7ylgwkRwgj6j2-0zvdDQSWcCX7EvVo8JV3_rkj3e3vze_iruH37ebTf3hSnXVS6gLLu1kLVGWYEVjWm7vu1lKSyIAchE31bWmsG2NdYIvTGya3XXDM1AAKzKJft-4R5joF-nrA5hjp5GKtlJMtQBOVoyuHSZGFKKaNUxuknHFwVCnd2ri3tFE9XZvZKUkZdMol6_w_iP_P_QO8PTirs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2920009139</pqid></control><display><type>article</type><title>A novel technique for multiple attribute group decision making in interval-valued hesitant fuzzy environments with incomplete weight information</title><source>SpringerLink Journals</source><source>ProQuest Central UK/Ireland</source><source>ProQuest Central</source><creator>Zhang, Chunqin ; Wang, Chao ; Zhang, Zhiming ; Tian, Dazeng</creator><creatorcontrib>Zhang, Chunqin ; Wang, Chao ; Zhang, Zhiming ; Tian, Dazeng</creatorcontrib><description>We propose a new technique for handling multiple attribute group decision making (MAGDM) problems in interval-valued hesitant fuzzy (IVHF) environments with imperfect weight information. Firstly, the quadratic programming model is given to acquire the weights of decision makers by utilizing maximum group consensus between individual and group IVHF decision matrices. Then, the maximum deviation method is employed to build an optimum model, where the best weights for attributes are obtained. Subsequently, an IVHF–TOPSIS approach is developed to obtain a solution that simultaneously has the smallest distance from the IVHF-positive ideal solution (IVHFPIS) and the largest distance from the IVHF-negative ideal solution (IVHFNIS). Ultimately, the novel method is verified with an investment example.</description><identifier>ISSN: 1868-5137</identifier><identifier>EISSN: 1868-5145</identifier><identifier>DOI: 10.1007/s12652-018-0912-2</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Artificial Intelligence ; Computational Intelligence ; Decision making ; Engineering ; Fuzzy sets ; Methods ; Original Research ; Quadratic programming ; Robotics and Automation ; User Interfaces and Human Computer Interaction</subject><ispartof>Journal of ambient intelligence and humanized computing, 2019-06, Vol.10 (6), p.2417-2433</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-13396025ae241f07c89b8b230f10d1018b84ffcdf85e5e1bcc298a97d7dc36e43</citedby><cites>FETCH-LOGICAL-c364t-13396025ae241f07c89b8b230f10d1018b84ffcdf85e5e1bcc298a97d7dc36e43</cites><orcidid>0000-0002-6423-0732</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12652-018-0912-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2920009139?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21388,27924,27925,33744,41488,42557,43805,51319,64385,64389,72469</link.rule.ids></links><search><creatorcontrib>Zhang, Chunqin</creatorcontrib><creatorcontrib>Wang, Chao</creatorcontrib><creatorcontrib>Zhang, Zhiming</creatorcontrib><creatorcontrib>Tian, Dazeng</creatorcontrib><title>A novel technique for multiple attribute group decision making in interval-valued hesitant fuzzy environments with incomplete weight information</title><title>Journal of ambient intelligence and humanized computing</title><addtitle>J Ambient Intell Human Comput</addtitle><description>We propose a new technique for handling multiple attribute group decision making (MAGDM) problems in interval-valued hesitant fuzzy (IVHF) environments with imperfect weight information. Firstly, the quadratic programming model is given to acquire the weights of decision makers by utilizing maximum group consensus between individual and group IVHF decision matrices. Then, the maximum deviation method is employed to build an optimum model, where the best weights for attributes are obtained. Subsequently, an IVHF–TOPSIS approach is developed to obtain a solution that simultaneously has the smallest distance from the IVHF-positive ideal solution (IVHFPIS) and the largest distance from the IVHF-negative ideal solution (IVHFNIS). Ultimately, the novel method is verified with an investment example.</description><subject>Artificial Intelligence</subject><subject>Computational Intelligence</subject><subject>Decision making</subject><subject>Engineering</subject><subject>Fuzzy sets</subject><subject>Methods</subject><subject>Original Research</subject><subject>Quadratic programming</subject><subject>Robotics and Automation</subject><subject>User Interfaces and Human Computer Interaction</subject><issn>1868-5137</issn><issn>1868-5145</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kMFqGzEQhkVpocbxA_Qm6HlTjXbXu3s0JmkDgVyas9BqR7bcXcmRtA7JU-SRM8YlPVVIjBDzf4M-xr6BuAYhmh8J5LqWhYC2EB3IQn5iC2jXbVFDVX_-uJfNV7ZK6SBolV0JAAv2tuE-nHDkGc3eu6cZuQ2RT_OY3XFErnOOrp8z8l0M85EPaFxywfNJ_3F-x52nnTGe9FjQmXHge0wua5-5nV9fXzj6k4vBT-hz4s8u7ylgwkRwgj6j2-0zvdDQSWcCX7EvVo8JV3_rkj3e3vze_iruH37ebTf3hSnXVS6gLLu1kLVGWYEVjWm7vu1lKSyIAchE31bWmsG2NdYIvTGya3XXDM1AAKzKJft-4R5joF-nrA5hjp5GKtlJMtQBOVoyuHSZGFKKaNUxuknHFwVCnd2ri3tFE9XZvZKUkZdMol6_w_iP_P_QO8PTirs</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Zhang, Chunqin</creator><creator>Wang, Chao</creator><creator>Zhang, Zhiming</creator><creator>Tian, Dazeng</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0002-6423-0732</orcidid></search><sort><creationdate>20190601</creationdate><title>A novel technique for multiple attribute group decision making in interval-valued hesitant fuzzy environments with incomplete weight information</title><author>Zhang, Chunqin ; Wang, Chao ; Zhang, Zhiming ; Tian, Dazeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-13396025ae241f07c89b8b230f10d1018b84ffcdf85e5e1bcc298a97d7dc36e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Artificial Intelligence</topic><topic>Computational Intelligence</topic><topic>Decision making</topic><topic>Engineering</topic><topic>Fuzzy sets</topic><topic>Methods</topic><topic>Original Research</topic><topic>Quadratic programming</topic><topic>Robotics and Automation</topic><topic>User Interfaces and Human Computer Interaction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Chunqin</creatorcontrib><creatorcontrib>Wang, Chao</creatorcontrib><creatorcontrib>Zhang, Zhiming</creatorcontrib><creatorcontrib>Tian, Dazeng</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Journal of ambient intelligence and humanized computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Chunqin</au><au>Wang, Chao</au><au>Zhang, Zhiming</au><au>Tian, Dazeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel technique for multiple attribute group decision making in interval-valued hesitant fuzzy environments with incomplete weight information</atitle><jtitle>Journal of ambient intelligence and humanized computing</jtitle><stitle>J Ambient Intell Human Comput</stitle><date>2019-06-01</date><risdate>2019</risdate><volume>10</volume><issue>6</issue><spage>2417</spage><epage>2433</epage><pages>2417-2433</pages><issn>1868-5137</issn><eissn>1868-5145</eissn><abstract>We propose a new technique for handling multiple attribute group decision making (MAGDM) problems in interval-valued hesitant fuzzy (IVHF) environments with imperfect weight information. Firstly, the quadratic programming model is given to acquire the weights of decision makers by utilizing maximum group consensus between individual and group IVHF decision matrices. Then, the maximum deviation method is employed to build an optimum model, where the best weights for attributes are obtained. Subsequently, an IVHF–TOPSIS approach is developed to obtain a solution that simultaneously has the smallest distance from the IVHF-positive ideal solution (IVHFPIS) and the largest distance from the IVHF-negative ideal solution (IVHFNIS). Ultimately, the novel method is verified with an investment example.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12652-018-0912-2</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-6423-0732</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1868-5137 |
| ispartof | Journal of ambient intelligence and humanized computing, 2019-06, Vol.10 (6), p.2417-2433 |
| issn | 1868-5137 1868-5145 |
| language | eng |
| recordid | cdi_proquest_journals_2920009139 |
| source | SpringerLink Journals; ProQuest Central UK/Ireland; ProQuest Central |
| subjects | Artificial Intelligence Computational Intelligence Decision making Engineering Fuzzy sets Methods Original Research Quadratic programming Robotics and Automation User Interfaces and Human Computer Interaction |
| title | A novel technique for multiple attribute group decision making in interval-valued hesitant fuzzy environments with incomplete weight information |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T13%3A15%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20novel%20technique%20for%20multiple%20attribute%20group%20decision%20making%20in%20interval-valued%20hesitant%20fuzzy%20environments%20with%20incomplete%20weight%20information&rft.jtitle=Journal%20of%20ambient%20intelligence%20and%20humanized%20computing&rft.au=Zhang,%20Chunqin&rft.date=2019-06-01&rft.volume=10&rft.issue=6&rft.spage=2417&rft.epage=2433&rft.pages=2417-2433&rft.issn=1868-5137&rft.eissn=1868-5145&rft_id=info:doi/10.1007/s12652-018-0912-2&rft_dat=%3Cproquest_cross%3E2920009139%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2920009139&rft_id=info:pmid/&rfr_iscdi=true |