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The process contains uncertainty, vagueness, fuzziness and insufficient data; therefore, this evaluating process needs experts\u2019 knowledge and judgments. Fuzzy set theory is a useful technique to capture experts\u2019 evaluations. This paper proposes the new present worth and future worth analysis techniques with single valued neutrosophic set. The proposed techniques allow using possible values of alternatives\u2019 data and membership function of alternatives assigned by experts. The techniques provide the literature with a new multiplication operator and a new term under the name \u201cneutrosophic equivalent\u201d. An illustrative example shows the applicability of the techniques. Comparison analyses are realized with classical and simplified neutrosophic present and future worth techniques. The comparison results show that the proposed techniques overcome investment analysis problems effectively and efficiently.<\/jats:p>","DOI":"10.3233\/jifs-179436","type":"journal-article","created":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T12:20:58Z","timestamp":1570191658000},"page":"627-637","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Investment analysis using neutrosophic present and future worth techniques"],"prefix":"10.1177","volume":"38","author":[{"given":"Serhat","family":"Ayd\u0131n","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, National Defense University Air Force Academy, Istanbul, Turkey"}]},{"given":"Mehmet","family":"Kabak","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Gazi University, Ankara, Turkey"}]}],"member":"179","published-online":{"date-parts":[[2019,10,3]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.5755\/j01.ee.29.3.19392"},{"key":"e_1_3_1_3_2","doi-asserted-by":"crossref","unstructured":"C.Kahraman S.\u00c7.Onar and B.\u00d6ztay\u015fi Present Worth Analysis Using Hesitant Fuzzy Sets 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT) 2015 255\u2013259.","DOI":"10.2991\/ifsa-eusflat-15.2015.38"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"e_1_3_1_5_2","unstructured":"F.A.Smarandache Unifying field in logics. 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