Interval-Valued Pythagorean Fuzzy AHP: Evaluation of Freight Transportation Strategies

Abstract

Freight transportation with the highest reliance on fossil fuels, has one of the vital roles on generating CO2 emission compared to other sectors. For that reason, choosing the best appropriate freight transportation strategy becomes an important problem that decision makers deal with. In this chapter, we focus on freight transportation strategy selection problem by tackling imprecision and vagueness in real life problems. The problem is modeled and solved using Analytic Hierarchy Process (AHP) based on one of the extensions of ordinary fuzzy sets named as Pythagorean fuzzy sets. In the application part, interval-valued membership and non-membership degrees are used to represent uncertainty in a better way. In the chapter, sensitivity analysis is performed and the results are compared with interval-valued intuitionistic fuzzy AHP method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.