The problem of fair division for a hybrid resource

The problem of fair division for a hybrid resource We propose an elementary solution to the apartment rent division problem. This problem belongs to the class of problems of “fair division,” but differs from its standard setting by “heterogeneity,” i.e., the presence of both a conventional continuous component and a discrete one, a fixed set of rooms. A combinatorial-topological approach to solving this problem in a finite number of steps (each of which requires a survey of all participants), actively used in the literature, allows to obtain an approximate decision only. We propose a fundamentally different setting, based on a priori estimates of each room by the participants and allowing, in principle, to consider various optimization tasks as well. Our approach is particularly relevant in the case of a large number of participants. We also note that the proposed approach allows to find a solution in a number of cases where the combinatorial-topological approach does not work. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Problems of Information Transmission Springer Journals

The problem of fair division for a hybrid resource

Loading next page...
 
/lp/springer_journal/the-problem-of-fair-division-for-a-hybrid-resource-SpVh9H0Spn
Publisher
Pleiades Publishing
Copyright
Copyright © 2016 by Pleiades Publishing, Inc.
Subject
Engineering; Communications Engineering, Networks; Electrical Engineering; Information Storage and Retrieval; Systems Theory, Control
ISSN
0032-9460
eISSN
1608-3253
D.O.I.
10.1134/S003294601603008X
Publisher site
See Article on Publisher Site

Abstract

We propose an elementary solution to the apartment rent division problem. This problem belongs to the class of problems of “fair division,” but differs from its standard setting by “heterogeneity,” i.e., the presence of both a conventional continuous component and a discrete one, a fixed set of rooms. A combinatorial-topological approach to solving this problem in a finite number of steps (each of which requires a survey of all participants), actively used in the literature, allows to obtain an approximate decision only. We propose a fundamentally different setting, based on a priori estimates of each room by the participants and allowing, in principle, to consider various optimization tasks as well. Our approach is particularly relevant in the case of a large number of participants. We also note that the proposed approach allows to find a solution in a number of cases where the combinatorial-topological approach does not work.

Journal

Problems of Information TransmissionSpringer Journals

Published: Oct 19, 2016

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from
Google Scholar,
PubMed
Create lists to
organize your research
Export lists, citations
Read DeepDyve articles
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off