JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol.38, no.1, pp.627-637, 2020 (SCI-Expanded)
Investment analysis is a process of choosing the best alternative among investment alternatives that provide the best fit for a company. The process contains uncertainty, vagueness, fuzziness and insufficient data; therefore, this evaluating process needs experts' knowledge and judgments. Fuzzy set theory is a useful technique to capture experts' 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' 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 "neutrosophic equivalent". 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.