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Nonessential objectives within network approaches for MCDM

Gal, Tomas; Hanne, Thomas - In: European Journal of Operational Research 168 (2006) 2, pp. 584-592

Persistent link: https://www.econbiz.de/10005240283

Consequences of dropping nonessential objectives for the application of MCDM methods

Gal, Tomas; Hanne, Thomas - In: European Journal of Operational Research 119 (1999) 2, pp. 373-378

Persistent link: https://www.econbiz.de/10005240419

Stability in vector maximization--A survey

Gal, Tomas; Wolf, Karin - In: European Journal of Operational Research 25 (1986) 2, pp. 169-182

Persistent link: https://www.econbiz.de/10005329616

A general method for determining the set of all efficient solutions to a linear vectormaximum problem

Gal, Tomas - In: European Journal of Operational Research 1 (1977) 5, pp. 307-322

Persistent link: https://www.econbiz.de/10005329642

Relaxation analysis in linear vectorvalued maximization

Gal, Tomas; Leberling, Heiner - In: European Journal of Operational Research 8 (1981) 3, pp. 274-282

Persistent link: https://www.econbiz.de/10005337864

Foreword

Gal, Tomas; Roy, Bernard - In: European Journal of Operational Research 25 (1986) 2, pp. 157-159

Persistent link: https://www.econbiz.de/10005347070

Weakly redundant constraints and their impact on postoptimal analyses in LP

Gal, Tomas - In: European Journal of Operational Research 60 (1992) 3, pp. 315-326

Persistent link: https://www.econbiz.de/10005347140

On the connectedness of optimum-degeneracy graphs

Zornig, Peter; Gal, Tomas - In: European Journal of Operational Research 95 (1996) 1, pp. 155-166

Persistent link: https://www.econbiz.de/10005152196

Redundant objective functions in linear vector maximum problems and their determination

Gal, Tomas; Leberling, Heiner - In: European Journal of Operational Research 1 (1977) 3, pp. 176-184

Persistent link: https://www.econbiz.de/10005257197

Rim Multiparametric Linear Programming

Gal, Tomas - In: Management Science 21 (1975) 5, pp. 567-575

The rim multiparametric linear programming problem (RMPLP) is a parametric problem with a vector-parameter in both the right-hand side and objective function (i.e., in the "rim"). The RMPLP determines the region K* \subset E* such that the problem, maximize z(\lambda) = c<sup>T</sup>(\lambda)x, subject to...

Persistent link: https://www.econbiz.de/10009204565