Skip to main content
SpringerLink
Log in

The discounted multi-objective Markov decision model with incomplete state observations: lexicographically order criteria

  • Published:
Mathematical Methods of Operations Research Aims and scope Submit manuscript

Abstract

The discrete time discounted multi-objective Markov decision model with incomplete state observations is presented. The lexicographically order optimal problem is shown to be equivalent to the optimal problem of a one-reward Markov decision model with complete state observations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

  1. Department of Management, Ningbo University, Ningbo 315211 P.R. of China (e-mail: jiarch@mail.nbptt.zj.cn, dingyy@nbnet.com.cn), CN

    Jia Rangcheng, Ding Yuanyao & Tang Shaoxiang

Authors
  1. Jia Rangcheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ding Yuanyao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tang Shaoxiang
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Manuscript received: March 2001/Final version received: September 2001

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rangcheng, J., Yuanyao, D. & Shaoxiang, T. The discounted multi-objective Markov decision model with incomplete state observations: lexicographically order criteria. Mathematical Methods of OR 54, 439–443 (2001). https://doi.org/10.1007/s001860100162

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s001860100162

Search

Navigation