{"id":"https://openalex.org/W2253689595","doi":"https://doi.org/10.1007/978-3-319-24369-6_30","title":"Modelling Human Cognitive Processes","display_name":"Modelling Human Cognitive Processes","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2253689595","doi":"https://doi.org/10.1007/978-3-319-24369-6_30","mag":"2253689595"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-24369-6_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-24369-6_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://inria.hal.science/hal-01444480","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033442768","display_name":"Agnieszka Jastrz\u0119bska","orcid":"https://orcid.org/0000-0001-5361-5787"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Agnieszka Jastrzebska","raw_affiliation_strings":["Faculty of Mathematics and Information Science, Warsaw University of Technology, ul. Koszykowa 75, 00-662, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University of Technology, ul. Koszykowa 75, 00-662, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080738640","display_name":"Wojciech Lesi\u0144ski","orcid":"https://orcid.org/0000-0001-6628-9466"},"institutions":[{"id":"https://openalex.org/I245364917","display_name":"University of Bia\u0142ystok","ror":"https://ror.org/01qaqcf60","country_code":"PL","type":"education","lineage":["https://openalex.org/I245364917"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Wojciech Lesinski","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Bialystok, ul. Konstantego Ciolkowskiego 1M, 15-245, Bialystok, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Bialystok, ul. Konstantego Ciolkowskiego 1M, 15-245, Bialystok, Poland","institution_ids":["https://openalex.org/I245364917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086016443","display_name":"Mariusz Rybnik","orcid":"https://orcid.org/0000-0002-0824-6561"},"institutions":[{"id":"https://openalex.org/I245364917","display_name":"University of Bia\u0142ystok","ror":"https://ror.org/01qaqcf60","country_code":"PL","type":"education","lineage":["https://openalex.org/I245364917"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Mariusz Rybnik","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Bialystok, ul. Konstantego Ciolkowskiego 1M, 15-245, Bialystok, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Bialystok, ul. Konstantego Ciolkowskiego 1M, 15-245, Bialystok, Poland","institution_ids":["https://openalex.org/I245364917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033442768"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.8723,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73480792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"363","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.9412000179290771,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7313161492347717},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6678634881973267},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.608614981174469},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5276217460632324},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.525265634059906},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5013382434844971},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.4813988208770752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41462036967277527},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3780674934387207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32629409432411194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22134098410606384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7313161492347717},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6678634881973267},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.608614981174469},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5276217460632324},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.525265634059906},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5013382434844971},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.4813988208770752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41462036967277527},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3780674934387207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32629409432411194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22134098410606384},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-24369-6_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-24369-6_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01444480v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01444480","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"14th Computer Information Systems and Industrial Management (CISIM), Sep 2015, Warsaw, Poland. pp.363-374, ⟨10.1007/978-3-319-24369-6_30⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01444480v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01444480","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"14th Computer Information Systems and Industrial Management (CISIM), Sep 2015, Warsaw, Poland. pp.363-374, ⟨10.1007/978-3-319-24369-6_30⟩","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W610412678","https://openalex.org/W1485625483","https://openalex.org/W1968690293","https://openalex.org/W1980564456","https://openalex.org/W2003074920","https://openalex.org/W2022984216","https://openalex.org/W2024919729","https://openalex.org/W2060878354","https://openalex.org/W2138331133","https://openalex.org/W2164429865","https://openalex.org/W2578456536","https://openalex.org/W2912565176","https://openalex.org/W2936089245","https://openalex.org/W4211007335","https://openalex.org/W4234672050"],"related_works":["https://openalex.org/W2380000090","https://openalex.org/W2374797863","https://openalex.org/W2062195135","https://openalex.org/W2349308527","https://openalex.org/W2023578311","https://openalex.org/W2502632608","https://openalex.org/W2347909813","https://openalex.org/W2383301647","https://openalex.org/W1800639126","https://openalex.org/W1833397253"],"abstract_inverted_index":{"The":[0],"article":[1],"presents":[2],"an":[3,40,58,72],"application":[4],"of":[5,35,60,62,75,84,91,124],"fuzzy":[6,13,104],"sets":[7,14],"with":[8,15,95],"triangular":[9,101],"norms":[10,17,77,102],"and":[11,81,103,131],"balanced":[12,16,76],"to":[18,39,78,128],"decision":[19,29,45,53,117,133],"making":[20,54,118,134],"modelling.":[21],"We":[22,68,87,120],"elaborate":[23],"on":[24,71,100],"a":[25,36,44,92,96],"vector-based":[26],"method":[27],"for":[28],"problem":[30],"representation,":[31],"where":[32],"each":[33],"element":[34],"vector":[37],"corresponds":[38],"argument":[41],"analysed":[42],"by":[43],"maker.":[46],"Vectors":[47],"gather":[48],"information":[49,63],"that":[50,113],"influence":[51],"given":[52],"task.":[55],"Decision":[56],"is":[57],"outcome":[59],"aggregation":[61,111],"gathered":[64],"in":[65],"such":[66],"vectors.":[67],"have":[69,88,108,121],"capitalized":[70],"inherent":[73],"ability":[74],"aggregate":[79],"positive":[80],"negative":[82],"premises":[83],"different":[85,115],"intensity.":[86],"contrasted":[89],"properties":[90],"bipolar":[93],"model":[94,98,127],"unipolar":[97],"based":[99],"sets.":[105],"Secondly,":[106],"we":[107],"proposed":[109,126],"several":[110],"schemes":[112],"illustrate":[114],"real-life":[116],"situations.":[119],"shown":[122],"suitability":[123],"the":[125],"represent":[129],"complex":[130],"biased":[132],"cases.":[135]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}