A naïve approach for solving MCDM problems: the GUESS method
From MaRDI portal
Publication:4367033
DOI10.1057/palgrave.jors.2600349zbMath0891.90141OpenAlexW2037358755MaRDI QIDQ4367033
Publication date: 25 November 1997
Published in: Journal of the Operational Research Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1057/palgrave.jors.2600349
Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50)
Related Items (22)
Solving biobjective combinatorial max-ordering problems by ranking methods and a two-phases approach ⋮ Out of the mist -- towards decision-maker-friendly multiple criteria decision making support ⋮ An integrated approach for stock evaluation and portfolio optimization ⋮ The effects of anchoring an interactive MCDM solution methods ⋮ A synchronous reference point-based interactive method for stochastic multiobjective programming ⋮ On nadir points of multiobjective integer programming problems ⋮ Visualization-aided multi-criteria decision-making using interpretable self-organizing maps ⋮ Global formulation for interactive multiobjective optimization ⋮ Computation of ideal and Nadir values and implications for their use in MCDM methods. ⋮ Implementation aspects of interactive multiobjective optimization for modeling environments: the case of GAMS-NIMBUS ⋮ A multiobjective interactive approach to determine the optimal electricity mix in Andalucía (Spain) ⋮ Using interactive multiobjective methods to solve DEA problems with value judgements ⋮ Reference points and approximation algorithms in multicriteria discrete optimization ⋮ An additive achievement scalarizing function for multiobjective programming problems ⋮ Modified interactive Chebyshev algorithm (MICA) for non-convex multiobjective programming ⋮ Improving the computational efficiency in a global formulation (GLIDE) for interactive multiobjective optimization ⋮ A two-slope achievement scalarizing function for interactive multiobjective optimization ⋮ The ``Light Beam Search approach. -- An overview of methodology and applications ⋮ A comparison of two reference point methods in multiple objective mathematical programming. ⋮ On the Use of Preferential Weights in Interactive Reference Point Based Methods ⋮ An experimental evaluation of the efficacy of four multi-objective linear programming algorithms ⋮ Synchronous approach in interactive multiobjective optimization
This page was built for publication: A naïve approach for solving MCDM problems: the GUESS method