DENOVO PROGRAMMING WITH FUZZY COEFFICIENTS AND MULTIPLE FUZZY GOALS

被引:12
作者
LI, RJ [1 ]
LEE, ES [1 ]
机构
[1] KANSAS STATE UNIV AGR & APPL SCI,DEPT IND ENGN,MANHATTAN,KS 66506
关键词
D O I
10.1006/jmaa.1993.1018
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In an earlier paper by the authors (J. Math. Anal, .4ppl.153, 1990, 97-111), the general multiple criteria de novo programming was solved by the use of the fuzzy concept, where the fuzzy goals and fuzzy coefficients were treated separately. This paper presents an improved approach where both the goals and the coefficients are treated simultaneously. Depending on the numerical approach, the resulting problems can be solved either as a linear problem combined with a search routine or as a nonlinear programming problem. © 1993 Academic Press, Inc.
引用
收藏
页码:212 / 220
页数:9
相关论文
共 6 条
  • [1] Bellman R. E., 1971, Decision-making in a fuzzy environment, DOI 10.1287/mnsc.17.4.B141
  • [2] A PARAMETRIC APPROACH TO FUZZY LINEAR-PROGRAMMING
    CARLSSON, C
    KORHONEN, P
    [J]. FUZZY SETS AND SYSTEMS, 1986, 20 (01) : 17 - 30
  • [3] FUZZY APPROACHES TO MULTICRITERIA DENOVO PROGRAMS
    LI, RJ
    LEE, ES
    [J]. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 1990, 153 (01) : 97 - 111
  • [4] OPTIMAL SYSTEM-DESIGN WITH MULTIPLE CRITERIA - DENOVO PROGRAMMING APPROACH
    ZELENY, M
    [J]. ENGINEERING COSTS AND PRODUCTION ECONOMICS, 1986, 10 (02): : 89 - 94
  • [5] ZELENY M, 1982, MULTIPLE CRITERIA DE
  • [6] Zimmermann H.-J., 1978, Fuzzy Sets and Systems, V1, P45, DOI 10.1016/0165-0114(78)90031-3