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Chapter 4

Decision Making Models and

Techniques

4.1 Chapter Objectives

By the end of this chapter, student will be able to

ˆ efine decision making and explain its role in computing and information sciences. D

ˆ escribe the structured decision-making process. D

ˆ xplain the Rational Decision-Making Model and its assumptions. E

ˆ ifferentiate between rational decision making and bounded rationality. D
ˆ nalyze decision making under uncertainty using probabilities. A

ˆ xplain how decision trees are used in AI and classification problems. E

ˆ pply multi-criteria decision-making techniques in computing scenarios. A
ˆ escribe the relationship between decision making and optimization. D

ˆ dentify ethical considerations in computing-related decisions. I

ˆ valuate alternative solutions using logical and data-driven criteria. E

4.2 Decision Making Models and Techniques

Decision making is a fundamental cognitive process that plays a crucial role in cre-

ative and scientific thinking. In computing and information sciences, decision making

is involved in almost every activity, including algorithm selection, system design, opti-
mization, and artificial intelligence development. Effective decision making requires the

ability to analyze alternatives, evaluate consequences, and choose the most appropriate

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