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Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The;

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Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The;

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Comparative Analysis of Deterministic and Nondeterministic Decision Trees

of decision trees, including bounds on complexity and algorithms for construction of decision trees for decision tables with many-valued decisions. It;

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Comparative Analysis of Deterministic and Nondeterministic Decision Trees

study of decision trees, including bounds on complexity and algorithms for construction of decision trees for decision tables with many-valued;

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Decision Making Theories and Methods Based on Interval Valued Intuitionistic Fuz

fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with;

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Decision Making Theories and Methods Based on Inte

intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with;

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Logic and Social Choice (Rle Social Theory)

in logical terms, and shows that an analysis of social decision is equivalent to a logical calculus in many-valued logic. The logical conditions are;

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Logic and Social Choice (Rle Social Theory)

in logical terms, and shows that an analysis of social decision is equivalent to a logical calculus in many-valued logic. The logical conditions are;

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Decision-Making Management

Decision-Making Management: A Tutorial and Applications provides practical guidance for researchers seeking to optimizing business;

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Interval-Valued Methods in Classifications and Decisions

This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making;

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Data Mining with Decision Trees

Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning;

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Knowledge Automation

in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive;

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Cambridge Studies in Probability, Induction and Decision Theory

; and pooling rules and Bayesian dynamics for sets of probabilities. The volume will be particularly valuable to philosophers concerned with;

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What Every Engineer Should Know About Decision Making Under Uncertainty

Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents;

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Interpretable Machine Learning

will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general;

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CRITICAL DECISIONS IN HEADACHE MANAGEMENT

Critical Decisions in Headache Management explains the clinical process of assessing and treating the headache patient in the office and;

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Decision-Making in Private Equity Firms

, and Europe to explore determinants and rules of their decision-making. The results exhibit new facts about their objectives, success measures;

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Dmn Method and Style

interactions with customers, suppliers, and employees. For many years, subject matter experts created text-based "requirements" and handed them over to;

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Data Mining With Decision Trees

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this;

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Exercising Agency

, approving executives and those responsible for how initiation decisions are made. By explaining the influence, value and risks associated with the;

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Making Decisions

--decisions can be reached more efficiently and with less disagreement. It shows that only maximization of expected utility leads to sensible decision;

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The Many Futures of a Decision

converge and diverge at different points in time. Using a phenomenological approach, The Many Futures of a Decision explores what we learn;

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Multiple-Valued Logic

. Decision diagram structures for multiple valued applications are described in detail with particular emphasis on the recently developed quantum;

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Guide for Making Acute Risk Decisions

This book presents a guidance on a large range of decision aids for risk analysts and decision makers in industry so that vital decisions;

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Decision Trees for Business Intelligence and Data Mining

This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business;

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A Fast and Frugal Finance

financial reasoning. It shows how financial professionals can reach better and quicker decisions using the 'fast and frugal' framework for decision;

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Business Decision-Making

? What tools can they use to improve their decision-making process? What rules of thumb (heuristics) can they use when faced with decision;

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