{"id":"https://openalex.org/W67498528","doi":null,"title":"Introduction to the Subjective Transfer Function Approach to Analyzing Systems.","display_name":"Introduction to the Subjective Transfer Function Approach to Analyzing Systems.","publication_year":1984,"publication_date":"1984-01-01","ids":{"openalex":"https://openalex.org/W67498528","mag":"67498528"},"language":"en","primary_location":{"id":"pmh:ADA145817","doi":null,"is_oa":false,"landing_page_url":"http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA145817","pdf_url":null,"source":{"id":"https://openalex.org/S4406923043","display_name":"Defense Technical Information Center (DTIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DTIC AND NTIS","raw_type":"Text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019263173","display_name":"Clairice T. Veit","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Clairice T. Veit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078212454","display_name":"Monti D. Callero","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Monti D. Callero","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110153999","display_name":"Barbara J. Rose","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barbara Rose","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.01173021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.31709998846054077,"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/T10467","display_name":"Psychometric Methodologies and Testing","score":0.31709998846054077,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.2272000014781952,"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/T12443","display_name":"Delphi Technique in Research","score":0.05290000140666962,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subjective-measures","display_name":"subjective indicators","score":0.8140000104904175},{"id":"https://openalex.org/keywords/expert-opinion","display_name":"expert opinion","score":0.5099999904632568},{"id":"https://openalex.org/keywords/hypothesis-testing","display_name":"hypothesis testing","score":0.6349999904632568},{"id":"https://openalex.org/keywords/algebraic-modeling","display_name":"algebraic modeling","score":0.890999972820282},{"id":"https://openalex.org/keywords/systems-analysis","display_name":"systems analysis","score":0.5460000038146973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6036829352378845},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49516525864601135},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.42220985889434814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4195508658885956},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4189601540565491},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.41720470786094666},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.41450512409210205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3457707166671753},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3242153525352478},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22742527723312378},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2186526358127594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1853266954421997},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:ADA145817","doi":null,"is_oa":false,"landing_page_url":"http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA145817","pdf_url":null,"source":{"id":"https://openalex.org/S4406923043","display_name":"Defense Technical Information Center (DTIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DTIC AND NTIS","raw_type":"Text"},{"id":"mag:67498528","doi":null,"is_oa":false,"landing_page_url":"https://www.rand.org/content/dam/rand/pubs/reports/2007/R3021.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W52297510","https://openalex.org/W2419478003","https://openalex.org/W125483433","https://openalex.org/W167846466","https://openalex.org/W320131142","https://openalex.org/W137964231","https://openalex.org/W2320589534","https://openalex.org/W2125366869","https://openalex.org/W2065340335","https://openalex.org/W4255297426"],"abstract_inverted_index":{"The":[0,30],"subjective":[1,9,54],"transfer":[2],"function":[3],"(STF)":[4],"approach":[5,31,49],"is":[6,32,85],"a":[7,86],"general":[8],"measurement":[10,51,109],"method":[11],"developed":[12],"to":[13,50,113],"evaluate":[14],"complex":[15],"systems":[16],"where":[17,52],"groups":[18,72],"of":[19,37,45,73,88,118],"people":[20],"differing":[21],"in":[22,97],"expertise":[23],"directly":[24],"and":[25,40,84,107,111],"indirectly":[26],"affect":[27],"system":[28,74],"outcomes.":[29],"based":[33],"on":[34],"the":[35,46,89,94,98,115,119,122],"principles":[36,110],"hypothesis":[38],"formulation":[39],"testing.":[41],"It":[42,92],"incorporates":[43],"features":[44,64],"algebraic":[47],"modeling":[48],"meaningful":[53],"scale":[55],"values":[56],"derive":[57],"from":[58,70],"tested":[59],"theories;":[60],"it":[61],"provides":[62],"additional":[63],"necessary":[65],"for":[66,121],"coalescing":[67],"judgments":[68],"obtained":[69],"different":[71],"experts":[75],"into":[76],"an":[77],"overall":[78],"perceptual":[79],"outcome.":[80],"This":[81],"report":[82],"introduces":[83],"primer":[87],"STF":[90],"method.":[91],"outlines":[93],"steps":[95,103],"involved":[96],"approach,":[99],"describes":[100],"how":[101],"those":[102],"can":[104],"be":[105],"accomplished,":[106],"discusses":[108],"techniques":[112],"aid":[114],"reader's":[116],"understanding":[117],"basis":[120],"approach.":[123],"(Author)":[124]},"counts_by_year":[],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}