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Books > Computing & IT > Applications of computing > Artificial intelligence
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Uncertainty in Data Envelopment Analysis - Fuzzy and Belief Degree-Based Uncertainties (Paperback)
Loot Price: R3,125
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Uncertainty in Data Envelopment Analysis - Fuzzy and Belief Degree-Based Uncertainties (Paperback)
Series: Uncertainty, Computational Techniques, and Decision Intelligence
Expected to ship within 12 - 19 working days
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Uncertainty in Data Envelopment Analysis: Fuzzy and Belief
Degree-Based Uncertainties introduces methods to investigate
uncertain data in DEA models, providing a deeper look into two
types of uncertain DEA methods: Fuzzy DEA and Belief Degree Based
Uncertainty DEA, which are based on uncertain measures. These
models aim to solve problems encountered by classical data analysis
in cases where inputs and outputs of systems and processes are
volatile and complex, making measurement difficult. Classical data
envelopment analysis (DEA) models use crisp data in order to
measure inputs and outputs of a given system. Crisp input and
output data are fundamentally indispensable in the conventional DEA
models. If these models contain complex-uncertain data, then they
will become more important and practical for decision-makers.
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