Results 111 to 120 of about 13,894 (242)
FUZZY COMPARATIVE CONCORDANCE ANALYSIS. Proposal and evaluation by a case study [PDF]
In this paper it is proposed a fuzzy multiple attribute analysis, that we have called comparative concordance, as a help instrument to the decision-making process in an environment of lack of precise information as it generally is the decision-making in ...
Antonio Morillas +2 more
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Inferences on countries through MCDM over pharmaceutical consumption
This chapter aims to obtain various inferences about the health systems of countries by using multi-criteria decision making (MCDM) methods on drug consumption data. Pharmaceutical consumption is seen as a useful resource for assessing the performance of
Şimşek, Ahmet Bahadir, Meydan, Bilge
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Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.ABSTRACT This study focuses on a multi‐criteria decision‐making (MCDM) analysis backed by EPA's SWMM (storm water management model) to investigate stormwater management (SM) strategies for urban areas consisting of different land‐use types. Güneysu city center (Rize, Türkiye) is used to exemplify areas consisting of impermeable surfaces, blocks of ...
Fatih Bekiryazici +3 more
wiley +1 more source
A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: Applications of the Kappalab R package [PDF]
The application of multi-attribute utility theory whose aggregation process is based on the Choquet integral requires the prior identification of a capacity. The main approaches to capacity identification proposed in the literature are reviewed and their
Patrick MEYER +2 more
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Application of Multiple Criteria Decision Models for Oilseed Crops in Pakistan’s Punjab [PDF]
Pakistan is deficient in major food products. Self-sufficiency in food has virtually always been a major priority, because imports of wheat, edible oil, sugar, pulses and milk products put a massive burden on the balance of payments for the country.
Tahir Rehman, Muhammad Azeem Khan
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The Journal of SupercomputingFeature 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 +3 more
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Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges
Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges brings together the latest fuzzy and soft computing methods, models, and algorithms as applied to the field of renewable energy and supported by specific ...
Elhoseny, Mohamed +3 more
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Development and Application of LINMAP, PROMETHEEIV, and FIS in Continuous Multi-Criteria Decision-Making Problems [PDF]
چشمانداز مدیریت صنعتی, 2014 MCDM problems can be classified into multi-attribute decision making and multi-objective decision-making. In MADM methods, the decision space is discrete and there are a limited predetermined alternative, and preferred alternative has a total performance
Majid Esmaelian +3 more
doaj
AI-Based Multi-Criteria Decision-Making (MCDM) Models
Complex environments tend to compel decision-making to consider a number of conflicting criteria at the same time. Multi-Criteria Decision-Making (MCDM) tools have been extensively applied to assist in facilitating structure decision-making in business management, engineering, healthcare, and the public policy arena.
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Implication of national policy on electricity distribution system planning in Kenya
, 2010 Includes bibliographical references (leaves 131-136).This research project proposes a multi-criteria decision making (MCDM) method of electricity distribution system planning based on the Simple Multi-Attribute Rating Technique (SMART) embedded in a ...
Saulo, Michael Juma
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