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Information Technology for Management: Approaches to Improving Business and Society

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Cover of 'Information Technology for Management: Approaches to Improving Business and Society'

Table of Contents

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    Book Overview
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    Chapter 1 Configuration A pproach of U ser R equirements for A nalytical A pplications - C hallenges, S tate of the Art and Evaluation
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    Chapter 2 Human Performance Management: A Humanist and Supportive Model for IT Professionals
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    Chapter 3 Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information
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    Chapter 4 Analysis for Women’s’ Menstrual Health Disorders Using Artificial Intelligence
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    Chapter 5 Symptoms of Dementia in Elderly Persons Using Waveform Features of Pupil Light Reflex
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    Chapter 6 Assessment of Optimisation Results for Shared Cars
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    Chapter 7 Students’ Perception of Online Learning During the COVID-19 Pandemic: Polish and Ukrainian Perspectives
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    Chapter 8 The Iterative Compromise Ranking Analysis (ICRA) - The New Approach to Make Reliable Decisions
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    Chapter 9 Temporal SWARA-SPOTIS for Multi-Criteria Assessment of European Countries Regarding Sustainable RES Exploitation
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    Chapter 10 A Sustainable Approach for Determining Compromise Ranking Based on Intuitonistic Fuzzy Score Functions
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    Chapter 11 Missing Types Prediction in Linked Data Using Deep Neural Network with Attention Mechanism: Case Study on DBpedia and UniProt Datasets
Attention for Chapter 8: The Iterative Compromise Ranking Analysis (ICRA) - The New Approach to Make Reliable Decisions
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Citations

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Chapter title
The Iterative Compromise Ranking Analysis (ICRA) - The New Approach to Make Reliable Decisions
Chapter number 8
Book title
Information Technology for Management: Approaches to Improving Business and Society
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-29570-6_8
Book ISBNs
978-3-03-129569-0, 978-3-03-129570-6
Authors

Paradowski, Bartosz, Kizielewicz, Bartłomiej, Shekhovtsov, Andrii, Sałabun, Wojciech

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unknown 2 100%

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