Capital Budgeting of Independent Projects with Budget Limitation Under Intuitionistic Fuzziness

Author:

HAKTANIR Elif1ORCID

Affiliation:

1. BAHCESEHIR UNIVERSITY

Abstract

Companies have to make the right investment moves at the right time in order to sustain their existence and growth. For this reason, it is a critical decision for companies to distribute the existing capital to which projects and to what extent. Investment alternatives can be classified into two groups as dependent and independent. In dependent investment projects, the decision of whether to invest in a project directly affects the investment decision of the other project. In independent projects, it is necessary to consider the budget constraint in accordance with the reality of life. No matter how big the companies mentioned are, it is impossible to talk about an endless source of investment. For this reason, present value analysis, which is one of the most common methods used when evaluating independent project investments, is discussed under intuitionistic fuzziness in this study. It is aimed to achieve the most realistic results by reflecting the ambiguity and vagueness in the thoughts of the decision makers. In addition, this study demonstrates the integrability of fuzzy sets into engineering economics analysis methods. With this study, the cash flow data has been fuzzified and alternatives with both equal and different expected lives have been formulated to provide maximum returns under a certain budget limit. In addition, the responses of different parameters to changes were measured with intuitionistic fuzzy sensitivity analysis.

Publisher

Ankara Yildirim Beyazit Universitesi

Reference14 articles.

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3. de Souza Sampaio Filho, A.C., Vellasco, M.M.B.R., & Tanscheit, R. (2018). Modified methods of capital budgeting under uncertainties: An approach based on fuzzy numbers and interval arithmetic. Communications in Computer and Information Science 853, 777-789.

4. Etemadi, S., Koosha, H. & Salari, M. (2018). A goal programming capital budgeting model under uncertainty in construction industry. Scientia Iranica 25(2), 841-851.

5. Sampaio Filho, A.C.D.S., Vellasco, M.M.B.R., & Tanscheit, R. (2018). A unified solution in fuzzy capital budgeting. Expert Systems with Applications 98, 27-42.

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