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Computational Management

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Cover of 'Computational Management'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Management—An Overview
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    Chapter 2 Mathematical and Computational Approaches for Stochastic Control of River Environment and Ecology: From Fisheries Viewpoint
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    Chapter 3 Models and Tools of Knowledge Acquisition
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    Chapter 4 Profits Are in the Eyes of the Beholder: Entropy-Based Volatility Indicators and Portfolio Rotation Strategies
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    Chapter 5 Asymmetric Spillovers Between the Stock Risk Series: Case of CESEE Stock Markets
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    Chapter 6 Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model
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    Chapter 8 Understanding and Predicting View Counts of YouTube Videos Using Epidemic Modelling Framework
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    Chapter 9 Gross Domestic Product Modeling Using “Panel-Data” Concept
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    Chapter 10 Supply Chain Scheduling Using an EOQ Model for a Two-Stage Trade Credit Financing with Dynamic Demand
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    Chapter 11 Software Engineering Analytics—The Need of Post COVID-19 Business: An Academic Review
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    Chapter 12 The Rise and Fall of the SCOR Model: What After the Pandemic?
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    Chapter 13 A Comparative Study on Multi-objective Evolutionary Algorithms for Tri-objective Mean-Risk-Cardinality Portfolio Optimization Problems
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    Chapter 14 Portfolio Insurance and Intelligent Algorithms
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    Chapter 15 On Interval-Valued Multiobjective Programming Problems and Vector Variational-Like Inequalities Using Limiting Subdifferential
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    Chapter 16 Portfolio Optimization Using Multi Criteria Decision Making
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    Chapter 17 Uncertain Multi-objective Transportation Problems and Their Solution
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    Chapter 18 Agile Computational Intelligence for Supporting Hospital Logistics During the COVID-19 Crisis
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    Chapter 19 Multi-objective Assignment Problems and Their Solutions by Genetic Algorithm
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    Chapter 20 Role of Evolutionary Approaches to Solving Multi-objective Optimization Problems
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    Chapter 21 Improving Financial Bankruptcy Prediction Using Oversampling Followed by Fuzzy Rough Feature Selection via Evolutionary Search
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    Chapter 22 An Integrated Fuzzy MCDM Approach to Supplier Selection—Indian Automotive Industry Case
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    Chapter 23 Decision Support System to Assign Price Rebates of Fresh Horticultural Products Based on Quality Decay
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    Chapter 24 Recommendation Engine for Stock Market Trading
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    Chapter 25 Cross-Listing Effect and Domestic Stock Returns: Some Empirical Evidence
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    Chapter 26 Investigation on Supply Chain Vulnerabilities and Risk Management Practices in Indian Manufacturing Industries
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    Chapter 27 Forecasting Long-term Electricity Demand: Evolution from Experience-Based Techniques to Sophisticated Artificial Intelligence (AI) Models
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    Chapter 28 Multi Criteria Decision Making for Sustainable Municipal Solid Waste Management Systems
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    Chapter 29 Inventive Investment Using Bigdata: Tools, Applicability and Challenges Associated
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    Chapter 30 Computational Aspects of Business Management with Special Reference to Monte Carlo Simulation
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    Chapter 31 Sustainability in Energy Economy and Environment: Role of AI Based Techniques
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    Chapter 32 Correction to: Computational Management
Attention for Chapter 2: Mathematical and Computational Approaches for Stochastic Control of River Environment and Ecology: From Fisheries Viewpoint
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Chapter title
Mathematical and Computational Approaches for Stochastic Control of River Environment and Ecology: From Fisheries Viewpoint
Chapter number 2
Book title
Modeling and Optimization in Science and Technologies
Published by
Springer, Cham, May 2021
DOI 10.1007/978-3-030-72929-5_2
Book ISBNs
978-3-03-072928-8, 978-3-03-072929-5
Authors

Hidekazu Yoshioka, Yoshioka, Hidekazu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Environmental Science 1 33%
Agricultural and Biological Sciences 1 33%
Engineering 1 33%