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We present operations on PFSSs and their peculiar characteristics and elaborate them with real life examples and tabular representation to develop the affluence of linguistic variables based on Pythagorean fuzzy soft (PFS) information. We present an application of PFSSs to the multi-criteria group decision-making (\n                    <jats:sans-serif>MCGDM<\/jats:sans-serif>\n                    ) related to site selection, accompanied by Algorithm and flow chart. We develop PFS TOPSIS method and PFS VIKOR method as extensions of the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) respectively. Finally, we rendered an application in stock exchange investment problem and tackled it by both PFS TOPSIS and PFS VIKOR methods.\n                  <\/jats:p>","DOI":"10.3233\/jifs-190905","type":"journal-article","created":{"date-parts":[[2019,10,15]],"date-time":"2019-10-15T16:10:50Z","timestamp":1571155850000},"page":"6937-6957","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":87,"title":["Pythagorean fuzzy soft MCGDM methods based on TOPSIS, VIKOR and aggregation operators"],"prefix":"10.1177","volume":"37","author":[{"given":"Khalid","family":"Naeem","sequence":"first","affiliation":[{"name":"Department of Mathematics &amp; Statistics, The University of Lahore, Lahore, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Riaz","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of the Punjab, Lahore, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xindong","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Shaoguan University, Shaoguan, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deeba","family":"Afzal","sequence":"additional","affiliation":[{"name":"Department of Mathematics &amp; Statistics, The University of Lahore, Lahore, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,10,11]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.3390\/sym11060735"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.3390\/math6080136"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/mca23030042"},{"key":"e_1_3_1_5_2","article-title":"Hybrid models for decision making based on rough Pythagorean fuzzy bipolar soft information","author":"Akram M.","year":"2018","unstructured":"AkramM. and AliG., Hybrid models for decision making based on rough Pythagorean fuzzy bipolar soft information, Granular Computing (2018). doi.org\/10.1007\/s41066-018-0132-3","journal-title":"Granular Computing"},{"key":"e_1_3_1_6_2","doi-asserted-by":"crossref","unstructured":"AkramM. and ArshadM. 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