Enhancing decision accuracy in software selection: a probabilistic hesitant fuzzy topsis model with maximum deviation

Enhancing decision accuracy in software selection: a probabilistic hesitant fuzzy topsis model with maximum deviation

Registration ID: IJNRD_227277

Published ID: IJNRD2408400

DOI: Click Here to Get

L. Aswini Srivani , V.V.S. Kesava Rao , Ravindra Andukuri

Multi-Criteria Decision-Making (MCDM), Probabilistic Hesitant Fuzzy TOPSIS, Maximum Deviation Method, Engineering Software Selection, Decision Accuracy, Uncertainty Handling.

This research introduces a novel integration of the Probabilistic Hesitant Fuzzy TOPSIS (PHFTOPSIS) model with the Maximum Deviation method to enhance decision-making accuracy in the selection of engineering software. The proposed model addresses the challenges of uncertainty and complexity by effectively weighting criteria based on their variability across alternatives. A practical case study involving six widely-used engineering software packages—Autodesk AutoCAD, SolidWorks, ANSYS, Siemens NX, PTC Creo, and CATIA—demonstrates the model's capability to generate reliable and accurate rankings. The results show that ANSYS is the most suitable software based on key criteria such as functionality, usability, and vendor support. The integration of PHFTOPSIS with Maximum Deviation offers significant advantages over traditional methods, providing a more nuanced and robust decision-making framework. This research contributes to the field of multi-criteria decision-making (MCDM) and suggests avenues for further methodological enhancements and applications in other domains.

Published Paper   E-Certificate

"Enhancing decision accuracy in software selection: a probabilistic hesitant fuzzy topsis model with maximum deviation", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 8, page no.d594-d600, August-2024, Available :https://ijnrd.org/papers/IJNRD2408400.pdf

Volume 9 Issue 8, August-2024

Pages : d594-d600

Paper Reg. ID: IJNRD_227277

Published Paper Id: IJNRD2408400

Downloads: 000121130

Research Area: Mechanical Engineering 

Country: Visakhapatnam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2408400.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408400

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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