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Satisficing solutions and duality in interval and fuzzy linear programming

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F03%3A00009069" target="_blank" >RIV/61989100:27510/03:00009069 - isvavai.cz</a>

  • Alternative codes found

    RIV/47813059:19520/03:00000011

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Satisficing solutions and duality in interval and fuzzy linear programming

  • Original language description

    In this paper we introduce a class of fuzzy linear programming problems and define the concepts of feasible and satisficing solutions - the necessary tools for dealing with such problems. In this way we show that the class of crisp (classical) LP problems can be embedded into the class of FLP ones. Moreover, for FLP problems we define the concept of duality and prove the weak and strong duality theorems. Further, we define a class of interval linear programming problems as a special subclass of FLP problems and apply the previous results to this special case.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Fuzzy Sets and Systems

  • ISSN

    0165-0114

  • e-ISSN

  • Volume of the periodical

    135

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    BE - BELGIUM

  • Number of pages

    16

  • Pages from-to

    151-177

  • UT code for WoS article

  • EID of the result in the Scopus database