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The PLTS concept is a generalization of hesitant fuzzy linguistic term set (HFLTS) which overcomes the limitation of HFLTS by associating occurring probability to each linguistic term. Initially, a new aggregation operator is presented for fusing decision makers\u2019 (DMs) preferences. Following this, a new extension is put forward for statistical variance (SV) method under PLTS for criteria weight calculation and a new extension is presented for WASPAS (weighted arithmetic sum product assessment) method under PLTS context for ranking objects. The applicability of the proposed decision framework is demonstrated by using a numerical example and the strength and weakness of the proposal are investigated by comparison with other state-of-the-art methods.<\/jats:p>","DOI":"10.3233\/jifs-181633","type":"journal-article","created":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T12:19:09Z","timestamp":1559045949000},"page":"5783-5795","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":26,"title":["A decision-making framework under probabilistic linguistic term set for multi-criteria group decision-making problem"],"prefix":"10.1177","volume":"36","author":[{"given":"R.","family":"Krishankumar","sequence":"first","affiliation":[{"name":"School of Computing, SASTRA University, Thanjavur, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Saranya","sequence":"additional","affiliation":[{"name":"School of Computing, 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