ABSTRACT
As a subject of engineering economics, investment analysis plays an important role and use analysis techniques in the solution process. Present worth analysis, return of investment, and cost/benefit analysis are the most popular investment analysis techniques in engineering economics. However, since some investment values are determined by humans/experts and these values are based on human thoughts, it is very difficult to specify exact values. In this way, fuzzy logic can be a better alternative for calculating vagueness in engineering economics' applications. Thus, uncertain cash flows, indefinite life, and indefinite time value of money require to use fuzzy present worth analysis. As a new extension of fuzzy sets, spherical fuzzy sets have stronger capabilities to model uncertain information in investment analysis problems. In this article, spherical fuzzy present worth analysis method is presented for the first time to address the fuzzy parameters of public emergency hospital investment, which is currently a major subject in Turkey. The public emergency hospital for three locations on the European side of Istanbul is evaluated using spherical fuzzy present worth analysis method. While the best location for the emergency hospital is determined as Kemerburgaz, we also conduct a sensitivity and comparison analysis in order to show the robustness and applicability of the proposed method.
ABSTRACT
The coronavirus pandemic has significantly impacted all aspects of humankind's life. One of the major negative observations, based on the preliminary data, is the seriously decreased number of organ transplants. Due to chronic immunosuppressive treatment and other medical comorbidities organ transplantation recipients are at very high risk because of the COVID-19 virus. kidney transplantation naturally lies in a risky environment with high rates of complication and mortality. During the coronavirus pandemic, the risk attributable to COVID-19 infectious is incredibly increased and brings out a more uncertain environment. In such high uncertainty, some very critical questions regarding decision making to allocate a patient for transplant, or put into the wait-listed patient. In this chapter, it is considered a spherical fuzzy structure to evaluate the uncertainty around the kidney transplantation recipient and an allocation method in SFSs is proposed. To show the feasibility and applicability of the proposed algorithm is applied and solved a case study of renal transplantation allocation and the results are discussed in detail. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.