Titlebook: Algorithmic Decision Making with Python Resources; From Multicriteria P Raymond Bisdorff Textbook 2022 The Editor(s) (if applicable) and Th

杠桿

Raymond BisdorffProvides first hand step-by-step tutorials for solving didactical and practical decision problems with multiple criteria.Introduces main objects available in the Digraph3 collection of Python3 modules

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易于

NOCT

Compiler Correctness and Input/OutputThe chapter describes the . resources for generating random multiple-criteria performance tableaux like a . tableau, a three Objectives—., ., and .—tableau, and an . performance tableau.

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Working with the , Python ResourcesThe chapter is devoted to a first contact with the . Python resources. Following the installation instructions, we list the main Python modules with their purpose and eventually illustrate in a first Python terminal session how to generate, save, and inspect a random crisp digraph.

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Generating Random Performance TableauxThe chapter describes the . resources for generating random multiple-criteria performance tableaux like a . tableau, a three Objectives—., ., and .—tableau, and an . performance tableau.

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HEPA-filter

ExercisesIn this chapter, we propose a series of decision problems of various difficulties which may serve as exercises and exam questions for an Algorithmic Decision Theory or Multiple-Criteria Decision Analysis course. They cover ., ., and . decision problems.