.png){kind=icon}
.png){kind=icon}
Return
Interactive fuzzy programming for decentralized two-level linear programming problems
.png){kind=icon}
PRE
AI
DOI：10.1016/S0165-0114(01)00042-2.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper presents interactive fuzzy programming for a decentralized two-level linear programming problem with a single decision maker (DM) at the upper level and multiple DMs at the lower level. The interactive method consists of two phases. In the first phase, after determining the fuzzy goals of the DMs at both levels, the DM at the upper level subjectively specifies a minimal satisfactory level. Taking into consideration overall satisfactory balance between the two levels, the DM at the upper level updates the minimal satisfactory level if necessary, and a tentative solution is obtained. In the second phase, consulting the ratios of satisfaction between the DM at the upper level and each of the DMs at the lower level, the DM at the upper level specifies maximal satisfactory levels to the DMs at the lower level and updates them if necessary. A satisfactory solution can be derived efficiently through the interactive procedure of the two phases. A numerical example illustrates the proposed method. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
decentralized two-level linear programming problem
interactive fuzzy programming
fuzzy goals
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
2.7
Papers:
7.6K
Citations:
1.5W
Organization
No organization information available