{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T23:02:46Z","timestamp":1778799766473,"version":"3.51.4"},"reference-count":81,"publisher":"Vilnius University Press","license":[{"start":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T00:00:00Z","timestamp":1682294400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:p>The purpose of this manuscript is to develop a novel MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method to solve the MCDM (Multiple Criteria Decision-Making) problems with completely unknown weights in the q-rung orthopair fuzzy (q-ROF) setting. Firstly, the new concepts of q-ROF Lance distance are defined and some related properties are discussed in this paper, from which we establish the maximizing deviation method (MDM) model for q-ROF numbers to determine the optimal criteria weight. Then, the Lance distance-based MAIRCA (MAIRCA-L) method is designed. In it, the preference, theoretical and real evaluation matrices are calculated considering the interaction relationship in q-ROF numbers, and the q-ROF Lance distance is applied to obtain the gap matrix. Finally, we manifest the effectiveness and advantage of the q-ROF MAIRCA-L method by two numerical examples.<\/jats:p>","DOI":"10.15388\/23-infor516","type":"journal-article","created":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T12:50:39Z","timestamp":1682340639000},"page":"179-202","source":"Crossref","is-referenced-by-count":18,"title":["A Lance Distance-Based MAIRCA Method for q-Rung Orthopair Fuzzy MCDM with Completely Unknown Weight Information"],"prefix":"10.15388","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7189-0264","authenticated-orcid":false,"given":"Haolun","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1005-9183","authenticated-orcid":false,"given":"Tingjun","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Dragan","family":"Pamucar","sequence":"additional","affiliation":[]},{"given":"Xuxiang","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3129-2889","authenticated-orcid":false,"given":"Liangqing","family":"Feng","sequence":"additional","affiliation":[]}],"member":"6097","published-online":{"date-parts":[[2023,4,24]]},"reference":[{"key":"2024031410093454941_j_infor516_ref_001","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","article-title":"Intuitionistic fuzzy sets","volume":"20","year":"1986","journal-title":"Fuzzy Sets 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