A Novel Multi Criteria Decision Making Model For Building Material Supplier Selection Based On Entropy Ahp Weighted Topsis
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A Novel Multi-Criteria Decision-Making Model for Building Material Supplier Selection Based on Entropy-AHP Weighted TOPSIS
The TOPSIS method is extended with entropy-AHP weights, and entropy-AHP weights are used instead of subjective weights. A novel decision-making model of TOPSIS integrated entropy-AHP weights is proposed to select the appropriate supplier. Finally, we take the selection of building material suppliers as an example and use sensitivity analysis to show that the combination of the TOPSIS method based on entropy-AHP weights can effectively select the appropriate supplier.
Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023
This book reflects the latest research trends, methods, and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of research that is highly relevant to current developments in a number of technological domains, the subjects it covered include intelligent computing, information processing, communication technology, automatic control, etc. The objective of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academicians, and industrial professionals to present the most innovative research and development in the field of rail transportation electrical and information technologies. Engineers and researchers in academia, industry, and government will also explore an insightful view of the solutions that combine ideas from multiple disciplines in this field. The volumes serve as an excellent reference work for researchersand graduate students working on rail transportation and electrical and information technologies.
Multi-Criteria Methodology for the Dynamic Development of Tourist Areas
Author: Constantin Zopounidis
language: en
Publisher: Springer Nature
Release Date: 2025-07-01
This book explores how multi-criteria analysis (MCA) methodologies can enhance sustainable tourism management in protected areas, with Samaria National Park in Crete as a primary case study. Topics include the global impact of tourism, the role of national parks in conservation, and how nature-based tourism (NBT) supports local economies. Through the Multi-Criteria Satisfaction Analysis (MUSA) method, it examines visitor satisfaction over time, including shifts due to the COVID-19 pandemic, and provides actionable strategies for balancing visitor needs with environmental conservation. Ideal for tourism professionals, environmental policymakers, and researchers in sustainable development, this book bridges theory and practical applications for lasting success in tourism and conservation.