Results 121 to 130 of about 10,098,978 (248)

Integration Modes Between MCDM Methods and Machine Learning Algorithms: A Structured Approach for Framework Development

Mathematics
Decision-making is increasingly guided by the integration of Multi-Criteria Decision-Making (MCDM) and Machine Learning (ML) approaches. Despite their complementary strengths, the literature lacks clarity on which forms of integration exist, what ...
Hatice Kocaman, Umut Asan
doaj   +1 more source

Balancing efficiency and robustness in project team formation: a hybrid evolutionary‐MCDM approach

International Transactions in Operational Research, EarlyView.
Abstract Effective team formation requires balancing technical skills, personality compatibility, and project constraints when selecting small teams from large candidate pools. Traditional multi‐criteria decision‐making (MCDM) methods provide rigorous evaluation but face scalability limitations.
Georgios Stavrou, Panagiotis Adamidis, Jason Papathanasiou   +2 more
wiley   +1 more source

A Decision‐Making Framework for Artificial Intelligence Implementation Strategies in Circular Supply Chains

Business Strategy &Development, Volume 9, Issue 3, September 2026.
ABSTRACT The growing complexity of global supply chains has intensified the need for sustainable and circular approaches that integrate technological innovation, environmental responsibility, and social resilience. This study develops a multi‐criteria decision‐making framework to evaluate and rank alternative artificial intelligence (AI) implementation
Claudemir Tramarico, Antonella Petrillo, Valério Salomon   +2 more
wiley   +1 more source

MULTI-CRITERIA DECISION MAKING FOR MANAGEMENT

, 2022
Többszempontú döntéselmélet a vezetés számára Multiple criteria decision making for management Életünk és munkánk során folyamatosan döntéseket hozunk, és bár esetenként egyszerűen az intuícióinkra hagyatkozunk, jellemzően mégis inkább adatok ...
Tolvaj, Márton
core  

Design and Implementation of an AI‐Driven Intelligent Decision Support System for Sustainable Ecotourism Development

Engineering Reports, Volume 8, Issue 9, September 2026.
This study presents a hybrid AI framework for sustainable ecotourism management, combining TabNet and XGBoost to predict ecotourism risk levels. The system analyzes datasets including visitor numbers, resource consumption, visitor satisfaction, temperature, Air Quality Index (AQI), noise levels, timestamps, and location data.
Zhide Luo, Zihao Jiang
wiley   +1 more source

AE-MCDM: an autoencoder-based multi-criteria decision-making approach for unsupervised feature selection

The Journal of Supercomputing
Feature selection is a fundamental technique for reducing the dimensionality of high-dimensional data by identifying the most relevant features while discarding redundant or irrelevant ones. In unsupervised settings, where labeled data are unavailable and labeling is costly, effective feature selection becomes even more challenging. This paper proposes
Hashemi, Amin, Dowlatshahi, Mohammad Bagher, Farshidi, Siamak, Moradi, Parham   +3 more
openaire   +1 more source

Built‐to‐Suit Telecoms Contractor Selection Using an Interval Type‐3 Fuzzy Analytic Hierarchy Process

Engineering Reports, Volume 8, Issue 9, September 2026.
Selecting build‐to‐suit telecom contractors is a high‐stakes decision shaped by vague expert judgments. This study develops an interval type‐3 fuzzy Analytic Hierarchy Process whose secondary credibility grade models uncertainty about the judgments themselves.
Leah‐Maria Ndokezi, Haryson Nyobuya
wiley   +1 more source

Climate‐Driven Shifts in Wind Energy Potential Across Central Asia Based on a Multi‐Model Ensemble and Tier‐Based Assessment

Global Challenges, Volume 10, Issue 9, September 2026.
This study presents a climate‐informed framework for assessing future wind energy potential across Central Asia using bias‐corrected Coupled Model Intercomparison Project Phase 6 (CMIP6) 100 m wind‐speed projections. Integrating Weibull characterization, seasonal variability, exceedance probabilities, and scenario sensitivity, the framework identifies ...
Parya Broomandi, Mehdi Bagheri, Sonny Irawan, Aram Fathian, Ali Mozhdehi Fard, Dorna Gholamzade Ledari, Michael Leuchner, Jong Ryeol Kim   +7 more
wiley   +1 more source

Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique

International Journal of Sustainable Engineering
This study introduces a comprehensive framework that integrates Multi-objective optimisation with Multiple-Criteria Decision Making (MCDM) techniques to enhance decision-making in sustainable machining processes.
Muhammad Atif, Faraz Junejo, Imran Amin
doaj   +1 more source

Estimating Land Degradation Level Using Remote Sensing Data and Fuzzy AHP Technique

Land Degradation &Development, Volume 37, Issue 15, Page 11548-11564, September 2026.
ABSTRACT Land degradation is a critical global environmental concern that significantly impacts ecosystem services, agricultural productivity, weather patterns, human livelihoods and overall well‐being. Prompt and precise assessments of land degradation status are crucial for environmental governance and sustainable development. Remote sensing data can
Mohamed Mustafa Ali, Hamed Faroqi
wiley   +1 more source