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What is Weight

Chapter 10
Handbook of Research on Software Quality Innovation in Interactive Systems
In the context of the application of the AHP methodology, it refers to the assignment of a numerical value that represents the degree of preference.
Published in Chapter:
The Analytic Hierarchy Process as a Method for the Selection of Resources in the Cloud
Hugo Rolando Haurech (Department of Management Technologies, Misiones National University, Argentina) and David Luis la Red Martinez (Northeast National University, Argentina)
Copyright: © 2021 |Pages: 18
DOI: 10.4018/978-1-7998-7010-4.ch010
Abstract
Due to technological advances, organizations have to face many challenges in providing support through the use of information technologies (IT) to carry out tasks that require computing skills. It is important to adopt adequate resources with the aim of developing processing skills that meet actual needs. Cloud computing (CC) represents an alternative that offers many opportunities to be exploited. This chapter introduces characteristics of CC, the technologies that enable its deployment, and a model of selection based on qualifications and mathematical development.
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Chapter 100
Group MCDM Based on the Fuzzy AHP Approach
Assessment of relative importance or preference of the criteria or alternatives.
Published in Chapter: Group MCDM Based on the Fuzzy AHP Approach; From: Encyclopedia of Business Analytics and Optimization
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Chapter 148
Learning in Feed-Forward Artificial Neural Networks I
A free parameter of an Artificial Neural Network, modified through the action of a Learning Algorithm to obtain desired responses to certain input stimuli.
Published in Chapter: Learning in Feed-Forward Artificial Neural Networks I; From: Encyclopedia of Artificial Intelligence
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Chapter 30
Supplier Selection in the Healthcare Sector: A Multi-Criteria Proposal
represents the level of importance for an attribute in a multicriteria decision-making process. The sum of weights for attributes must be 100% or 1.
Published in Chapter: Supplier Selection in the Healthcare Sector: A Multi-Criteria Proposal; From: Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains
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Chapter 149
Learning in Feed-Forward Artificial Neural Networks II
A free parameter of an Artificial Neural Network, that can be modified through the action of a Learning Algorithm to obtain desired responses to certain input stimuli.
Published in Chapter: Learning in Feed-Forward Artificial Neural Networks II; From: Encyclopedia of Artificial Intelligence
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Chapter 97
Feed-Forward Artificial Neural Network Basics
A free parameter of an Artificial Neural Network, that can be modified through the action of a Learning Algorithm to obtain desired responses to input stimuli.
Published in Chapter: Feed-Forward Artificial Neural Network Basics; From: Encyclopedia of Artificial Intelligence
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