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By introducing the convex IOWA operator paradigm and some related properties and definitions, we list some detailed preference and inducing preference models to demonstrate and exemplify the proposed conceptual frame of two-layer preference model. The convex IOWA operator paradigm facilitates the modeling process and, from mathematical view, makes it stricter. When relevant inducing information and aggregation selection change, the proposed models can be easily adapted to accommodate more different applications in decision making and evaluation.<\/jats:p>","DOI":"10.3233\/jifs-182671","type":"journal-article","created":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T15:48:37Z","timestamp":1560527317000},"page":"1213-1221","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Two-layer preference models with methodologies using induced aggregation in management administration and decision making"],"prefix":"10.1177","volume":"37","author":[{"given":"Cheng","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Mathematics, Nanjing Normal University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Radko","family":"Mesiar","sequence":"additional","affiliation":[{"name":"Faculty of Civil Engineering, Slovak University of Technology, Radlinsk\u00e9ho 11, Bratislava, Slovakia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronald R.","family":"Yager","sequence":"additional","affiliation":[{"name":"Machine Intelligence Institute, Iona College, New Rochelle, New York, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose","family":"Merigo","sequence":"additional","affiliation":[{"name":"Department of Management Control and Information Systems, University of Chile, Santiago, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jindong","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Management, Wuhan University of Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangqian","family":"Feng","sequence":"additional","affiliation":[{"name":"Business School, Nanjing Normal University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lesheng","family":"Jin","sequence":"additional","affiliation":[{"name":"Business School, Nanjing Normal University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,6,12]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(96)00254-0"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-9540-7"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1002\/int.21829"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2015.2450772"},{"key":"e_1_3_2_6_2","article-title":"On Scatters of probability distributions and OWA weights collections","author":"Jin L.","unstructured":"JinL., MesiarR. and YagerR.R., On Scatters of probability distributions and OWA weights collections, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Accepted).","journal-title":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.10.060"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2018.2792458"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2017.2769041"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2018.2877605"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s41066-018-0135-0"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2014.04.019"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2016.2617371"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139644150"},{"key":"e_1_3_2_15_2","unstructured":"SugenoM. 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