{"id":"https://openalex.org/W2075229901","doi":"https://doi.org/10.1142/s0219198915400083","title":"Product Selection in E-Commerce Under Fuzzy Environment: A MADM Game Theoretic Model","display_name":"Product Selection in E-Commerce Under Fuzzy Environment: A MADM Game Theoretic Model","publication_year":2014,"publication_date":"2014-12-09","ids":{"openalex":"https://openalex.org/W2075229901","doi":"https://doi.org/10.1142/s0219198915400083","mag":"2075229901"},"language":"en","primary_location":{"id":"doi:10.1142/s0219198915400083","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219198915400083","pdf_url":null,"source":{"id":"https://openalex.org/S130757258","display_name":"International Game Theory Review","issn_l":"0219-1989","issn":["0219-1989","1793-6675"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Game Theory Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5047960487","display_name":"B.K. Mohanty","orcid":"https://orcid.org/0000-0002-8653-5406"},"institutions":[{"id":"https://openalex.org/I91699865","display_name":"Indian Institute of Management Lucknow","ror":"https://ror.org/05gfjrx96","country_code":"IN","type":"education","lineage":["https://openalex.org/I91699865"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"B. K. Mohanty","raw_affiliation_strings":["Decision Sciences, Indian Institute of Management, Lucknow, Uttar Pradesh 226013, India"],"affiliations":[{"raw_affiliation_string":"Decision Sciences, Indian Institute of Management, Lucknow, Uttar Pradesh 226013, India","institution_ids":["https://openalex.org/I91699865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101918557","display_name":"Mahima Gupta","orcid":"https://orcid.org/0000-0002-2906-4548"},"institutions":[{"id":"https://openalex.org/I91699865","display_name":"Indian Institute of Management Lucknow","ror":"https://ror.org/05gfjrx96","country_code":"IN","type":"education","lineage":["https://openalex.org/I91699865"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mahima Gupta","raw_affiliation_strings":["Decision Sciences, Indian Institute of Management, Lucknow, Uttar Pradesh 226013, India"],"affiliations":[{"raw_affiliation_string":"Decision Sciences, Indian Institute of Management, Lucknow, Uttar Pradesh 226013, India","institution_ids":["https://openalex.org/I91699865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047960487"],"corresponding_institution_ids":["https://openalex.org/I91699865"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.14195987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"17","issue":"01","first_page":"1540008","last_page":"1540008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9995999932289124,"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":0.9995999932289124,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.6587432026863098},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5791512727737427},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5644617080688477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5282893180847168},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5196412801742554},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4964030385017395},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48473116755485535},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47959864139556885},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.46824371814727783},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.44612613320350647},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.42373350262641907},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.41427600383758545},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.39989519119262695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3606623411178589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2725595235824585}],"concepts":[{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.6587432026863098},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5791512727737427},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5644617080688477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5282893180847168},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5196412801742554},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4964030385017395},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48473116755485535},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47959864139556885},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.46824371814727783},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.44612613320350647},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.42373350262641907},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.41427600383758545},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.39989519119262695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3606623411178589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2725595235824585},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1142/s0219198915400083","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219198915400083","pdf_url":null,"source":{"id":"https://openalex.org/S130757258","display_name":"International Game Theory Review","issn_l":"0219-1989","issn":["0219-1989","1793-6675"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Game Theory Review","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:igtrxx:v:17:y:2015:i:01:n:s0219198915400083","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219198915400083","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:RePEc:wsi:igtrxx:v:17:y:2015:i:01:p:1540008-1-1540008-14","is_oa":false,"landing_page_url":"http://www.worldscinet.com/cgi-bin/details.cgi?type=html&amp;id=pii:S0219198915400083","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W628800555","https://openalex.org/W1491494309","https://openalex.org/W2004114598","https://openalex.org/W2014286416","https://openalex.org/W2028278137","https://openalex.org/W2045371359","https://openalex.org/W2050248182","https://openalex.org/W2066806040","https://openalex.org/W2069069851","https://openalex.org/W2069586182","https://openalex.org/W2078593691","https://openalex.org/W2081021840","https://openalex.org/W2082285982","https://openalex.org/W2129889618","https://openalex.org/W2145892712","https://openalex.org/W2170440421"],"related_works":["https://openalex.org/W4388150944","https://openalex.org/W4242235492","https://openalex.org/W2367268135","https://openalex.org/W4237162029","https://openalex.org/W1486684451","https://openalex.org/W4361273540","https://openalex.org/W2099285375","https://openalex.org/W2801459815","https://openalex.org/W4361984403","https://openalex.org/W4317826560"],"abstract_inverted_index":{"This":[0,137],"paper":[1,33],"introduces":[2],"a":[3,20,147,190],"methodology":[4,183],"based":[5],"on":[6],"fuzzy":[7,61,80,126],"game":[8,27,68,122,143],"theory":[9,28,69,123,144],"to":[10,96,131,140,157,173],"determine":[11,174],"the":[12,16,23,35,42,52,55,64,67,74,79,88,103,106,111,114,121,142,161,177,187],"buyer's":[13],"priority":[14,94],"of":[15,37,51,63,76,166,176,189],"attributes":[17,38,98],"and":[18,49],"select":[19,110],"product":[21,97],"in":[22,31,46,66,120,179],"e-business":[24,83,180],"system.":[25,181],"The":[26,60,82,117,155,182],"model":[29,124,145],"developed":[30],"our":[32],"considers":[34],"prioritization":[36],"as":[39,113,125,170],"strategies":[40,65,86,115,167],"for":[41,54,87,99],"player":[43,57,89,108],"(player":[44,58],"1)":[45],"one":[47],"side":[48],"selection":[50],"products":[53,112,178],"opponent":[56,107],"2).":[59],"probabilities":[62],"are":[70,128,168],"obtained":[71,119],"by":[72,91],"using":[73],"concepts":[75],"similarities":[77],"between":[78],"numbers.":[81],"system":[84],"devises":[85],"1":[90],"attaching":[92],"appropriate":[93],"levels":[95],"maximum":[100],"gain.":[101],"On":[102],"other":[104],"hand":[105],"2":[109],"accordingly.":[116],"payoffs":[118],"numbers":[127],"subsequently":[129],"converted":[130],"their":[132],"equivalent":[133],"probabilistic":[134],"mean":[135],"intervals.":[136],"process":[138],"leads":[139],"transform":[141],"into":[146],"linear":[148],"programming":[149],"problem":[150],"(LPP)":[151],"with":[152,186],"interval":[153],"coefficients.":[154],"solution":[156],"LPP":[158],"gives":[159],"us":[160],"optimal":[162],"strategies.":[163],"These":[164],"probability":[165],"considered":[169],"attributes'":[171],"weights":[172],"ranking":[175],"is":[184],"illustrated":[185],"help":[188],"numerical":[191],"example.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
