A Compromise Approach to Compromise Verdicts

A Compromise Programming Approach to multiobjective Markov Decision Processes

A Markov decision process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagent problems in which the value of a decision must be evaluated according to several viewpoints, sometimes con°icting. Although most of the studies concentrate on the determination of the set of Pareto-optimal policies,...

Quality Utility – a Compromise Programming Approach to Robust Design

A compromise for change.

© www.sarawickham.com This article first published 2003 Practising Midwife 6(11):23. Republished with permission for personal use only. Page numbers do not correspond to the original. Please do not reproduce/reprint without prior permission, thank you. When I first became involved with birth centres in the USA, they were seen as something of a compromise by many of those involved in setting the...

A new last aggregation compromise solution approach based on TOPSIS method with hesitant fuzzy setting to energy policy evaluation

Utilizing renewable energies is identified as one of significant issues for economical and social significance in future human life. Thus, choosing the best renewable energy among renewable energy candidates is more important. To address the issue, multi-criteria group decision making (MCGDM) methods with imprecise information could be employed to solve these problems. The aim of this paper is ...

Pareto-optimality of Compromise Decisions Pareto-optimality of Compromise Decisions

This paper deals with the problem of existence of compromise decisions and conditions for a compromise decision to be weakly Pareto-optimal, i.e., to be a weak Pareto-maximizer, Pareto-maximizer, or strong Pareto-maximizer. The concept of compromise decision is generalized by adopting triangular norms. Further, a concept of fuzzy interval is introduced. Suucient conditions for the existence of ...