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Pythagorean fuzzy set (PFS) is a useful tool to handle uncertain information, which has been widely applied in kinds of areas. In order to better infuse the Pythagorean fuzzy evaluation, in this paper we unify the advantages of the PA operator and HM operator, and present the Pythagorean fuzzy power Heronian mean (PFPHM) operator and the Pythagorean fuzzy weighted power Heronian mean (PFWPHM) operator. Some merits of the developed operators are further explored. Furthermore, on the basis of the PFWPHM operator, an approach for MADM under PFS situation is presented. Finally, a numerical case concerning investment company selection is illustrated to demonstrate the availability and feasibility of the developed approach.<\/jats:p>","DOI":"10.3233\/jifs-191905","type":"journal-article","created":{"date-parts":[[2020,6,9]],"date-time":"2020-06-09T13:05:34Z","timestamp":1591707934000},"page":"949-959","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Pythagorean fuzzy investment multiple attribute decision making method based on combined aggregation method"],"prefix":"10.1177","volume":"39","author":[{"given":"Dandan","family":"Luo","sequence":"first","affiliation":[{"name":"School of Business, Ningbo University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shouzhen","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Business, Ningbo University, Ningbo, China"},{"name":"College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China"},{"name":"School of Management, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guansheng","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Economics, Fujian Normal University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,6,6]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(86)80034-3"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2013.2278989"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1002\/int.21676"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1002\/int.21738"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/int.22102"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.3233\/FI-2019-1794"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.15388\/Informatica.2018.182"},{"issue":"6","key":"e_1_3_2_10_2","first-page":"1033","article-title":"Pythagorean fuzzy interaction aggregation operators and applications in decision making","volume":"32","author":"Liu W.F.","year":"2017","unstructured":"LiuW.F., DuY.X. and ChangJ., Pythagorean fuzzy interaction aggregation operators and applications in decision making, Control and Decision 32(6) (2017), 1033\u20131040.","journal-title":"Control and Decision"},{"issue":"5","key":"e_1_3_2_11_2","first-page":"166","article-title":"Density Operators of Pythagorean Fuzzy Numbers and Their Application in Decision Making","volume":"32","author":"Chang. 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