<span>This book describes new energy saving methods and technologies for heat power engineering. The book is devoted to topical issues of energy and related industries. Leading Ukrainian scientists from both scientific institutes and educational universities took part in its creation. The research r
Collective Decisions: Theory, Algorithms And Decision Support Systems (Studies in Systems, Decision and Control, 392)
â Scribed by Tomasz Szapiro (editor), Janusz Kacprzyk (editor)
- Publisher
- Springer
- Year
- 2021
- Tongue
- English
- Leaves
- 268
- Category
- Library
No coin nor oath required. For personal study only.
⌠Synopsis
This book is a token of appreciation for Professor Gregory E. Kersten (1949â2020), one of the most prominent and active researchers and scholars in the broadly perceived field of collective decisions, notably negotiations, the author of numerous influential papers, books, and edited volumes, a great scientist, mentor, and a loyal friend and colleague. This book contains some papers in the fields of group and collective decisions, voting, social choice, negotiations, and related topics, with examples of real applications. The authors are top researchers and scholars from all over the world whose life and academic career has been inspired and influenced by Professor Kersten.
⌠Table of Contents
Preface
Contents
Foundational Aspects, and Tools and Techniques
Voting Systems in Theory and Practice
1 Introduction
2 Rules Matter
3 Two Classics
4 Some Modern Classical Results
5 Why Nobody Seems to Care?
6 Maskin and Sen on Voting Reform
7 Concluding Remarks
References
Optimization-Based Voting Rule Design: The Closer to Utopia the Better
1 Introduction
2 Related Work
3 Preliminaries
4 Methodology
4.1 Euclidean Elections
4.2 Utopic Distributions and Distance Measures
4.3 Search Algorithms
5 Results
5.1 Weakly Separable Rules
5.2 OWA/Borda-Based Rules
5.3 OWA/Approval-Based Rules
6 Conclusions
References
A Procedure for Multiattribute Reverse Auctions with Two Strategic Parameters
1 Introduction
2 Multiattribute Reverse Auctions
2.1 Preference Representation
2.2 Feedback Rules
3 Problem Representation
3.1 Preliminaries
3.2 Representation of the Buyerâs Decision Problem
3.3 Reservation Levels
3.4 Design Parameters
4 Process
4.1 Preliminaries
4.2 Procedure
4.3 Efficiency
5 Discussion
5.1 Distance-Minimizing Strategy
5.2 Structurally Different Alternatives
5.3 Auction Rounds and Closure
6 Illustration
6.1 Example
6.2 Auction
References
Aggregation of Stochastic Rankings in Group Decision Making
1 Introduction
2 Construction of a Group Compromise Ranking Based on the Stochastic Rankings
2.1 Reminder on the PROMETHEE Ranking Methods
2.2 Stochastic Analysis of the Rankings Delivered by PROMETHEE
2.3 Construction of a Group Compromise Ranking
3 Illustrative Study
3.1 Partial Compromise Rankings
3.2 Complete Compromise Rankings
4 Conclusions
References
Quantitative Measures for Recognition of Negotiation Style and Activity
1 Introduction
2 Cross-activity Comparison of the Swedish Data
3 Cross-linguistic Comparison
4 Conclusions
References
How Well Agents Represent Their Principalsâ Preferences: The Effect of Information Processing, Value Orientation, and Goals
1 Introduction
2 Intrinsic Motivation in Negotiation
2.1 Intrinsic Motivation and Accuracy
2.2 Identity Motivation and Goals
2.3 Social Motivation and Negotiation Approach
2.4 Epistemic Motivation and Information Processing Scale
3 Research Model and Experiments
3.1 Research Model
3.2 Online Negotiation Experiment and Business Case
3.3 Accuracy of the Agentsâ Preferences
3.4 Participants and Evaluation of Their Performance
4 Data analysis and results
4.1 Measurement model
4.2 Structural Model
4.3 Results
4.4 Discussion
5 Conclusions
Appendix. Similarity of Two Preference Systems
References
Decision and Negotiation Systems
Automated Decision Systems: Why Human Autonomy is at Stake
1 Introduction
2 The Anatomy of Decision-Making Processes
3 The Autonomy of the Human Being at Stake
4 The Attribution of Agency to Automated Decision Systems
5 The Threat of Manipulation by Automated Decision Systems
6 Requirements for Trustworthy AI Systems
7 Conclusion
References
Supporting Usersâ Utilitarian Needs for Systems in Online Negotiations
1 Introduction
2 Research Background
2.1 IS Research About User Assessment and System Use
2.2 Utilitarian System Use and User Assessment
2.3 E-negotiation as a Case of Utilitarian System Use
3 The Research Model and Hypotheses
4 Methodology
4.1 Experiment and Data Collection
4.2 Measurements
5 Results
5.1 Manipulation Checks
5.2 Scale Validation
5.3 Research Model Testing
6 Discussion
7 Conclusion and Implications
References
Setting the Right Tone: The Role of Language Sentiment in E-negotiations
1 Introduction
2 Related Work and Research Hypotheses
2.1 The Role of Language in Negotiations
2.2 Language Sentiment Analysis
2.3 Hypotheses Development
3 Materials and Methods
3.1 Measuring Language Sentiment
3.2 Inspire Negotiation Experiment
3.3 Data
4 Results
4.1 Sentiment Aggregates and Reaching Agreement
4.2 The Effect of Sentiment on Negotiation Outcome
4.3 Dynamics of the Sentiment During Negotiations
5 Discussion
6 Conclusion and Outlook
References
Applications
Mathematical Based Models for Group Decision Support in Telecommunication Network Design and ManagementâChallenges and Trends
1 Introduction and Motivation
2 Telecommunication Networks and Group Decision Analysis
2.1 Highlights on Telecommunication Networks Evolution
2.2 Formal Mathematical ModelsâBrief Overview
3 Overview on Applications of Formal Mathematical Models to Group Decision in Telecommunication Networks
3.1 Applications of Multicriteria Group Decision Approaches to Telecommunication Networks
3.2 Applications of Game Theory Approaches to Telecommunication Networks
4 Trends and Challenges
References
Group Decision Process for Evaluating a Mango Variety to Be Planted in New Agricultural Farms
1 Introduction
2 Group Decision Process for Choosing a Mango Variety
2.1 First Phase. Definition of the Actors, Criteria and Identification of Alternatives
2.2 Phase 2. Individual Evaluation by Each Decision-Maker
2.3 Individual Results
2.4 Applying the Framework for Choosing a VP
2.5 Global Result
3 Managerial Implications of the Model
4 Conclusions
References
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