{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T17:13:00Z","timestamp":1732727580133,"version":"3.29.0"},"reference-count":49,"publisher":"SAGE Publications","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2022,9,22]]},"abstract":"Linguistic q-rung orthopair fuzzy numbers (Lq-ROFNs) are an effective tool for representing fuzzy linguistic information, and they can obtain a wider expression scope than linguistic intuitionistic fuzzy numbers and linguistic Pythagorean fuzzy numbers by increasing the value of parameter q. In this paper, we propose a new similarity measure called the grey similarity degree between any two Lq-ROFNs based on the concept of the grey correlation degree. Considering the significance of determining unknown weights, we also propose a grey correlation method to determine each expert\u2019s weight under different alternatives and attributes, and we construct an optimization model to determine incompletely known attribute weights. Furthermore, an approach to linguistic q-rung orthopair fuzzy multiple-attribute group decision making is proposed that combines the grey similarity degree with the PROMETHEE II method. Finally, a numerical example is given to illustrate the effectiveness of the proposed method, and a sensitivity analysis and comparison analysis are also performed.<\/jats:p>","DOI":"10.3233\/jifs-220579","type":"journal-article","created":{"date-parts":[[2022,6,17]],"date-time":"2022-06-17T16:13:00Z","timestamp":1655482380000},"page":"6607-6625","source":"Crossref","is-referenced-by-count":0,"title":["Linguistic q-rung orthopair fuzzy multiple-attribute group decision making based on the grey similarity degree and PROMETHEE II method"],"prefix":"10.1177","volume":"43","author":[{"given":"Xuecheng","family":"Shi","sequence":"first","affiliation":[{"name":"School of Mathematical Sciences, Anhui University, Hefei, Anhui, China"}]},{"given":"Zhichao","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Anhui University, Hefei, Anhui, China"},{"name":"Anhui University Center for Applied Mathematics, Anhui University, Hefei, Anhui, 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