An Interval-Valued Pythagorean Fuzzy Compromise Approach with Correlation-Based Closeness Indices for Multiple-Criteria Decision Analysis of Bridge Construction Methods

摘要: The purpose of this paper is to develop a novel compromise approach using correlation-based closeness indices for addressing multiple-criteria decision analysis (MCDA) problems bridge construction methods under complex uncertainty based on interval-valued Pythagorean fuzzy (IVPF) sets. assessment requires the consideration multiple alternatives and conflicting tangible intangible criteria in intricate varied circumstances. concept IVPF sets capable handling imprecise ambiguous information managing real-world applications. Inspired by useful ideas concerning energies, correlations, correlation coefficients, constructs new concepts characteristics investigates their desirable properties. These can be utilized achieve anchored judgments decision-making processes reflect certain balance between connections with positive negative ideal points reference. Moreover, these fully consider amount associated higher degrees effectively fuse evaluative ratings construct meaningful comparison approach. By index, establishes effective algorithmic procedures proposed conducting evaluation tasks within environments. methodology implemented practical problem selecting suitable method demonstrate its feasibility applicability. practicality effectiveness are verified through comparative well-known other relevant nonstandard models.