{"id":"https://openalex.org/W3004037600","doi":"https://doi.org/10.1109/ieem44572.2019.8978684","title":"A Novel Normalization Method for Using in Multiple Criteria Decision Analysis","display_name":"A Novel Normalization Method for Using in Multiple Criteria Decision Analysis","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3004037600","doi":"https://doi.org/10.1109/ieem44572.2019.8978684","mag":"3004037600"},"language":"en","primary_location":{"id":"doi:10.1109/ieem44572.2019.8978684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem44572.2019.8978684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-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/A5018168043","display_name":"Renyan Jiang","orcid":"https://orcid.org/0000-0002-4688-5065"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"R. Jiang","raw_affiliation_strings":["School of Automotive and Mechanical Engineering, Changsha University of Science and Technology,China","School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive and Mechanical Engineering, Changsha University of Science and Technology,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018168043"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":0.3961,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69286019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"268","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9904000163078308,"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":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.732717752456665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6727893352508545},{"id":"https://openalex.org/keywords/decision-analysis","display_name":"Decision analysis","score":0.4393249452114105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35689812898635864},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23699945211410522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17696896195411682}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.732717752456665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727893352508545},{"id":"https://openalex.org/C186116695","wikidata":"https://www.wikidata.org/wiki/Q5249226","display_name":"Decision analysis","level":2,"score":0.4393249452114105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35689812898635864},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23699945211410522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17696896195411682},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem44572.2019.8978684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem44572.2019.8978684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1523281138","https://openalex.org/W1972591816","https://openalex.org/W1997967425","https://openalex.org/W2045699904","https://openalex.org/W2046078150","https://openalex.org/W2066901868","https://openalex.org/W2227906719","https://openalex.org/W2884089204"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W2953716828"],"abstract_inverted_index":{"A":[0,163],"typical":[1],"multi-criteria":[2],"decision":[3,109],"analysis":[4],"(MCDA)":[5],"problem":[6,21],"aims":[7],"to":[8,15,130,135,160,168],"rank":[9],"a":[10,16,59,115,126],"set":[11,17],"of":[12,18,25,28,32,37,43,70,75,82,93,100,108,141,153,172],"alternatives":[13,101],"according":[14],"criteria.":[19],"The":[20,41,84,121,139],"deals":[22],"with":[23],"selection":[24],"criteria,":[26],"determination":[27],"criteria":[29,33,39,73,77,94,133,156],"weights,":[30],"normalization":[31,49,61,117,123,175],"scores":[34,74,134,157],"and":[35,56,151],"aggregation":[36],"normalized":[38,72,155],"scores.":[40],"focus":[42],"this":[44,113],"paper":[45],"is":[46,66,119,166],"on":[47],"the":[48,68,71,90,97,106,132,142,149,154,170,173],"method.":[50,62,176],"Most":[51],"MCDA":[52],"methods":[53],"(e.g.,":[54],"AHP":[55],"TOPSIS)":[57],"use":[58],"linear":[60],"Its":[63],"main":[64],"drawback":[65],"that":[67,96,148],"\u201cmagnitudes\u201d":[69],"different":[76,79],"are":[78,145,158],"in":[80,86],"terms":[81],"average.":[83],"difference":[85],"magnitude":[87],"actually":[88],"changes":[89],"relative":[91],"importances":[92],"so":[95,147],"final":[98],"rankings":[99],"may":[102],"not":[103],"appropriately":[104],"reflect":[105],"preference":[107],"makers.":[110],"To":[111],"address":[112],"issue,":[114],"novel":[116],"method":[118,124],"proposed.":[120],"proposed":[122,174],"uses":[125],"Gaussian":[127],"value":[128,143],"function":[129,144],"transform":[131],"interval":[136],"(0,":[137],"1).":[138],"parameters":[140],"determined":[146],"average":[150],"variance":[152],"equal":[159],"pre-specified":[161],"constants.":[162],"real-world":[164],"dataset":[165],"used":[167],"illustrate":[169],"advantages":[171]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}