Universidad Politécnica de Valencia-ko ikertzaileekin lankidetzan egindako argitalpenak (16)

2019

  1. Analysis of lack of agreement between MCDM methods related to the solution of a problem: Proposing a methodology for comparing methods to a reference

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 203-219

  2. Design of a decision-making model reality-wise: how should it be done?

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 81-98

  3. Group decision-making: Case study – Highway construction

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 173-188

  4. How to shape multiple scenarios

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 63-71

  5. Linear programming fundamentals

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 101-116

  6. Multi-criteria decision-making, evolution and characteristics

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 3-13

  7. SIMUS applied to quantify SWOT strategies

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 189-202

  8. Sensitivity analysis by SIMUS: The IOSA procedure

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 159-172

  9. Some complex and interesting cases solved by SIMUS

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 221-262

  10. The SIMUS method

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 117-157

  11. The decision-maker, A vital component of the decision-making process

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 73-79

  12. The initial decision matrix (IDM) and its fundamental role in modelling a scenario

    International Series in Operations Research and Management Science (Springer New York LLC), pp. 15-59