Dataset for Fuzzy Dematel and Fuzzy D-ANP (Analytic Network Process)

Description

This Dataset supports the research findings presented in the manuscript. It contains the quantitative data collected via expert-driven surveys and subsequent computations used for the Fuzzy Dematel and Fuzzy D-ANP (Analytic Network Process).

Steps to reproduce

Steps to Reproduce the Results Phase 1: Fuzzy DEMATEL 1. Convert expert linguistic responses into Triangular Fuzzy Numbers (TFNs) using the five-level fuzzy linguistic scale. 2. Standardize the TFNs and compute left, right, and total normalized values using equations (1)–(6). 3. Convert normalized fuzzy numbers into crisp values using equation (7) and average across all experts to form the initial direct relation matrix. 4. Normalize the direct relation matrix and compute the total relation matrix using T = X(I − X)⁻¹ in R software (DEMATEL package). Calculate prominence (c+r) and relation (c−r) values to classify factors as cause or effect. Phase 2: Fuzzy D-ANP 1. Normalize the total relation matrix row-wise and transpose it to obtain the unweighted supermatrix. 2. Raise the supermatrix to successive powers until convergence to obtain the limit supermatrix. 3. Extract converged values as final factor weights and rank all eight factors by long-term relative importance.

Institutions

• National Institute of Technology Kurukshetra

  Haryana, Kurukshetra

Categories

Licence