An interactive fuzzy satisficing method for structured multiobjective linear fractional programs with fuzzy numbers
Article Abstract:
The imprecision of the decision maker's understanding of a problem is exploited in the design of a multi-objective linear fractional programming model. The decision maker sets the degree alpha and reference membership values, which is then used by the model to compute for the Pareto optimal solution using the Dantzig-Wolfe decomposition method or the Ritter's partitioning procedure. This enables the decision maker to evaluate other interpretations of the problem by resetting the alpha and reference membership values.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1998
User Contributions:
Comment about this article or add new information about this topic:
Applications of sensitivity analysis for probit stochastic network equilibrium
Article Abstract:
The usage of sensitivity analysis for addressing stochastic problems in operations management is presented.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2006
User Contributions:
Comment about this article or add new information about this topic:
- Abstracts: A branch and bound algorithm for mixed zero-one multiple objective linear programming. Project prioritization under policy restrictions. a combination of MCDA with 0u1 programming
- Abstracts: A new fuzzy multiple attributive group decision making methodology and its implication to propulsion/manoeuvring system selection problem
- Abstracts: Strip generation algorithms for constrained two-dimensional two-staged cutting problems. A branch and bound algorithm to minimize the total tardiness for m-machine permutation flowshop problems
- Abstracts: Minimizing weighted earlinessutardiness and due-date cost with unit processing-time jobs. Workload minimization in re-entrant lines
- Abstracts: Build-pack planning for hard disk drive assembly with approved vendor matrices and stochastic demands. Experiments with classification-based scalarizing functions in interactive multiobjective optimization