A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter
Case-based reasoning (CBR) is an effective reasoning technology. The core idea of CBR is using past experience and expert knowledge to solve new problems. Operation planning of helicopter mainly relies on the experiences of the decision-maker, so CBR is an effective reasoning technology which can be...
Gespeichert in:
| Veröffentlicht in: | IEEE access 2020, Vol.8, p.124110-124122 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 124122 |
|---|---|
| container_issue | |
| container_start_page | 124110 |
| container_title | IEEE access |
| container_volume | 8 |
| creator | Xie, Ran Luo, Mingqiang Chen, Zikun Liu, Wenhao |
| description | Case-based reasoning (CBR) is an effective reasoning technology. The core idea of CBR is using past experience and expert knowledge to solve new problems. Operation planning of helicopter mainly relies on the experiences of the decision-maker, so CBR is an effective reasoning technology which can be used in the operation planning. Two key issues, evaluation method and case adaptation, are widely focused in CBR method. However, the existing CBR is not suitable for non-numeric optimization problem such as operation planning, because it belongs to small sample size problem. To solve this problem, the comprehensive evaluation based multi-CBR (CEB-mCBR) method is proposed in this paper, which can be used for operation planning of helicopter. According to the comprehensive evaluation theory, similar historical case set of the target case is established, and the historical operation plans are ranked. On this basis, the optimum initial plan for the target case is generated by the case screening CBR model. Then the solution element screening CBR model is further put forward to solve the issue of case adaptation. The CEB-mCBR method comprises multi-CBR (case screening CBR and solution element screening CBR) and combination evaluation method. It can integrate expert experience and human thinking better, especially when solution space is limited. Finally, through a case study analysis, the multi-CBR model can generate a feasible solution for the target case, and the solution elements can be adjusted according to the situation in the actual operation, which can improve the efficiency of operation planning while keeping the safety, economy and operating efficiency. |
| doi_str_mv | 10.1109/ACCESS.2020.3004927 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_9125912</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9125912</ieee_id><doaj_id>oai_doaj_org_article_2e85679c96f9487ab91c1290c5255ded</doaj_id><sourcerecordid>2454642615</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-49b48718091350faff2effb87d4cde6e5fddae8e03dc8f142629f075e307e5883</originalsourceid><addsrcrecordid>eNqNkV9rHCEUxYfSQkOaT5AXoY9ltv6d0cfNsE0CKSlN-1YQV68bl9lxqjMp_fZ1MyHpYwRRr-fcI_6q6pzgFSFYfV533ebubkUxxSuGMVe0fVOdUNKomgnWvP1v_746y3mPy5ClJNqT6tcafZ37KdTdxXe07ncxhen-gC5MBofigLp4GBPcw5DDA6DNg-lnM4Vy4WNCtyOk5fStN8MQhh2KHl1BH2wcJ0gfqnfe9BnOntbT6ueXzY_uqr65vbzu1je15VhONVdbLlsisSJMYG-8p-D9VraOWwcNCO-cAQmYOSs94bShyuNWAMMtCCnZaXW99HXR7PWYwsGkvzqaoB8LMe20SVOwPWgKUjStsqrxqoSarSKWUIWtoEI4cKXXx6XXmOLvGfKk93FOQ3m-plzwpqQTUVRsUdkUc07gn1MJ1kcqeqGij1T0E5XikovrD2yjzzbAYOHZWagIwUUjjnww6cL0-LddnIepWD-93lrU54s6ALyoFKGiTPYPuS-oTQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2454642615</pqid></control><display><type>article</type><title>A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Xie, Ran ; Luo, Mingqiang ; Chen, Zikun ; Liu, Wenhao</creator><creatorcontrib>Xie, Ran ; Luo, Mingqiang ; Chen, Zikun ; Liu, Wenhao</creatorcontrib><description>Case-based reasoning (CBR) is an effective reasoning technology. The core idea of CBR is using past experience and expert knowledge to solve new problems. Operation planning of helicopter mainly relies on the experiences of the decision-maker, so CBR is an effective reasoning technology which can be used in the operation planning. Two key issues, evaluation method and case adaptation, are widely focused in CBR method. However, the existing CBR is not suitable for non-numeric optimization problem such as operation planning, because it belongs to small sample size problem. To solve this problem, the comprehensive evaluation based multi-CBR (CEB-mCBR) method is proposed in this paper, which can be used for operation planning of helicopter. According to the comprehensive evaluation theory, similar historical case set of the target case is established, and the historical operation plans are ranked. On this basis, the optimum initial plan for the target case is generated by the case screening CBR model. Then the solution element screening CBR model is further put forward to solve the issue of case adaptation. The CEB-mCBR method comprises multi-CBR (case screening CBR and solution element screening CBR) and combination evaluation method. It can integrate expert experience and human thinking better, especially when solution space is limited. Finally, through a case study analysis, the multi-CBR model can generate a feasible solution for the target case, and the solution elements can be adjusted according to the situation in the actual operation, which can improve the efficiency of operation planning while keeping the safety, economy and operating efficiency.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.3004927</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>PISCATAWAY: IEEE</publisher><subject>Adaptation ; Adaptation models ; Algorithms ; case adaptation ; Cognition ; Comprehensive evaluation ; Computer Science ; Computer Science, Information Systems ; Decision making ; Engineering ; Engineering, Electrical & Electronic ; helicopter ; Helicopters ; Indexes ; multi-CBR ; operation planning ; Optimization ; Planning ; Reasoning ; Science & Technology ; Screening ; Solution space ; Task analysis ; Technology ; Telecommunications</subject><ispartof>IEEE access, 2020, Vol.8, p.124110-124122</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000554565000001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c408t-49b48718091350faff2effb87d4cde6e5fddae8e03dc8f142629f075e307e5883</citedby><cites>FETCH-LOGICAL-c408t-49b48718091350faff2effb87d4cde6e5fddae8e03dc8f142629f075e307e5883</cites><orcidid>0000-0003-2039-1363 ; 0000-0002-3454-479X ; 0000-0003-4320-9966 ; 0000-0002-9182-1378</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9125912$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,865,2103,2115,4025,27637,27927,27928,27929,54937</link.rule.ids></links><search><creatorcontrib>Xie, Ran</creatorcontrib><creatorcontrib>Luo, Mingqiang</creatorcontrib><creatorcontrib>Chen, Zikun</creatorcontrib><creatorcontrib>Liu, Wenhao</creatorcontrib><title>A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter</title><title>IEEE access</title><addtitle>Access</addtitle><addtitle>IEEE ACCESS</addtitle><description>Case-based reasoning (CBR) is an effective reasoning technology. The core idea of CBR is using past experience and expert knowledge to solve new problems. Operation planning of helicopter mainly relies on the experiences of the decision-maker, so CBR is an effective reasoning technology which can be used in the operation planning. Two key issues, evaluation method and case adaptation, are widely focused in CBR method. However, the existing CBR is not suitable for non-numeric optimization problem such as operation planning, because it belongs to small sample size problem. To solve this problem, the comprehensive evaluation based multi-CBR (CEB-mCBR) method is proposed in this paper, which can be used for operation planning of helicopter. According to the comprehensive evaluation theory, similar historical case set of the target case is established, and the historical operation plans are ranked. On this basis, the optimum initial plan for the target case is generated by the case screening CBR model. Then the solution element screening CBR model is further put forward to solve the issue of case adaptation. The CEB-mCBR method comprises multi-CBR (case screening CBR and solution element screening CBR) and combination evaluation method. It can integrate expert experience and human thinking better, especially when solution space is limited. Finally, through a case study analysis, the multi-CBR model can generate a feasible solution for the target case, and the solution elements can be adjusted according to the situation in the actual operation, which can improve the efficiency of operation planning while keeping the safety, economy and operating efficiency.</description><subject>Adaptation</subject><subject>Adaptation models</subject><subject>Algorithms</subject><subject>case adaptation</subject><subject>Cognition</subject><subject>Comprehensive evaluation</subject><subject>Computer Science</subject><subject>Computer Science, Information Systems</subject><subject>Decision making</subject><subject>Engineering</subject><subject>Engineering, Electrical & Electronic</subject><subject>helicopter</subject><subject>Helicopters</subject><subject>Indexes</subject><subject>multi-CBR</subject><subject>operation planning</subject><subject>Optimization</subject><subject>Planning</subject><subject>Reasoning</subject><subject>Science & Technology</subject><subject>Screening</subject><subject>Solution space</subject><subject>Task analysis</subject><subject>Technology</subject><subject>Telecommunications</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>AOWDO</sourceid><sourceid>DOA</sourceid><recordid>eNqNkV9rHCEUxYfSQkOaT5AXoY9ltv6d0cfNsE0CKSlN-1YQV68bl9lxqjMp_fZ1MyHpYwRRr-fcI_6q6pzgFSFYfV533ebubkUxxSuGMVe0fVOdUNKomgnWvP1v_746y3mPy5ClJNqT6tcafZ37KdTdxXe07ncxhen-gC5MBofigLp4GBPcw5DDA6DNg-lnM4Vy4WNCtyOk5fStN8MQhh2KHl1BH2wcJ0gfqnfe9BnOntbT6ueXzY_uqr65vbzu1je15VhONVdbLlsisSJMYG-8p-D9VraOWwcNCO-cAQmYOSs94bShyuNWAMMtCCnZaXW99HXR7PWYwsGkvzqaoB8LMe20SVOwPWgKUjStsqrxqoSarSKWUIWtoEI4cKXXx6XXmOLvGfKk93FOQ3m-plzwpqQTUVRsUdkUc07gn1MJ1kcqeqGij1T0E5XikovrD2yjzzbAYOHZWagIwUUjjnww6cL0-LddnIepWD-93lrU54s6ALyoFKGiTPYPuS-oTQ</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Xie, Ran</creator><creator>Luo, Mingqiang</creator><creator>Chen, Zikun</creator><creator>Liu, Wenhao</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2039-1363</orcidid><orcidid>https://orcid.org/0000-0002-3454-479X</orcidid><orcidid>https://orcid.org/0000-0003-4320-9966</orcidid><orcidid>https://orcid.org/0000-0002-9182-1378</orcidid></search><sort><creationdate>2020</creationdate><title>A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter</title><author>Xie, Ran ; Luo, Mingqiang ; Chen, Zikun ; Liu, Wenhao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-49b48718091350faff2effb87d4cde6e5fddae8e03dc8f142629f075e307e5883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptation</topic><topic>Adaptation models</topic><topic>Algorithms</topic><topic>case adaptation</topic><topic>Cognition</topic><topic>Comprehensive evaluation</topic><topic>Computer Science</topic><topic>Computer Science, Information Systems</topic><topic>Decision making</topic><topic>Engineering</topic><topic>Engineering, Electrical & Electronic</topic><topic>helicopter</topic><topic>Helicopters</topic><topic>Indexes</topic><topic>multi-CBR</topic><topic>operation planning</topic><topic>Optimization</topic><topic>Planning</topic><topic>Reasoning</topic><topic>Science & Technology</topic><topic>Screening</topic><topic>Solution space</topic><topic>Task analysis</topic><topic>Technology</topic><topic>Telecommunications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xie, Ran</creatorcontrib><creatorcontrib>Luo, Mingqiang</creatorcontrib><creatorcontrib>Chen, Zikun</creatorcontrib><creatorcontrib>Liu, Wenhao</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xie, Ran</au><au>Luo, Mingqiang</au><au>Chen, Zikun</au><au>Liu, Wenhao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><stitle>IEEE ACCESS</stitle><date>2020</date><risdate>2020</risdate><volume>8</volume><spage>124110</spage><epage>124122</epage><pages>124110-124122</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Case-based reasoning (CBR) is an effective reasoning technology. The core idea of CBR is using past experience and expert knowledge to solve new problems. Operation planning of helicopter mainly relies on the experiences of the decision-maker, so CBR is an effective reasoning technology which can be used in the operation planning. Two key issues, evaluation method and case adaptation, are widely focused in CBR method. However, the existing CBR is not suitable for non-numeric optimization problem such as operation planning, because it belongs to small sample size problem. To solve this problem, the comprehensive evaluation based multi-CBR (CEB-mCBR) method is proposed in this paper, which can be used for operation planning of helicopter. According to the comprehensive evaluation theory, similar historical case set of the target case is established, and the historical operation plans are ranked. On this basis, the optimum initial plan for the target case is generated by the case screening CBR model. Then the solution element screening CBR model is further put forward to solve the issue of case adaptation. The CEB-mCBR method comprises multi-CBR (case screening CBR and solution element screening CBR) and combination evaluation method. It can integrate expert experience and human thinking better, especially when solution space is limited. Finally, through a case study analysis, the multi-CBR model can generate a feasible solution for the target case, and the solution elements can be adjusted according to the situation in the actual operation, which can improve the efficiency of operation planning while keeping the safety, economy and operating efficiency.</abstract><cop>PISCATAWAY</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.3004927</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-2039-1363</orcidid><orcidid>https://orcid.org/0000-0002-3454-479X</orcidid><orcidid>https://orcid.org/0000-0003-4320-9966</orcidid><orcidid>https://orcid.org/0000-0002-9182-1378</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2169-3536 |
| ispartof | IEEE access, 2020, Vol.8, p.124110-124122 |
| issn | 2169-3536 2169-3536 |
| language | eng |
| recordid | cdi_ieee_primary_9125912 |
| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Adaptation Adaptation models Algorithms case adaptation Cognition Comprehensive evaluation Computer Science Computer Science, Information Systems Decision making Engineering Engineering, Electrical & Electronic helicopter Helicopters Indexes multi-CBR operation planning Optimization Planning Reasoning Science & Technology Screening Solution space Task analysis Technology Telecommunications |
| title | A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T07%3A29%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Multi-CBR%20Algorithm%20Based%20on%20Comprehensive%20Evaluation%20for%20Operation%20Planning%20of%20Helicopter&rft.jtitle=IEEE%20access&rft.au=Xie,%20Ran&rft.date=2020&rft.volume=8&rft.spage=124110&rft.epage=124122&rft.pages=124110-124122&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2020.3004927&rft_dat=%3Cproquest_ieee_%3E2454642615%3C/proquest_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2454642615&rft_id=info:pmid/&rft_ieee_id=9125912&rft_doaj_id=oai_doaj_org_article_2e85679c96f9487ab91c1290c5255ded&rfr_iscdi=true |