@revista_internacional{720,
  author = {Bapi Dutta and Son Duy Dao and Luis Martínez and Mark Goh},
  title = {"An evolutionary strategic weight manipulation approach for multi-attribute decision making: TOPSIS method"},
  abstract = {"Weight information of the attributes plays a pivotal role in multi-attribute decision making (MADM) problems. Oftentimes, a decision maker may try to manipulate this weight information to persuade a particular rank order of the alternatives of his/her interest. In the literature, this type of manipulation is known as strategic manipulation of the weight information. In this study, we consider the manipulation of weight information strategically in a TOPSIS MADM method under two scenarios: (1) completely unknown weight information i.e. the decision maker does not provide any weight information; (2) incomplete weight information i.e. the decision maker provides only partial preference information over the attributes. This weight manipulation problem is formulated as a mixed integer non-linear programming (MINLP) problem which is highly constrained. Therefore, for solving the MINLP model, a genetic algorithm based solution procedure is developed. A practical example is presented to illustrate the strategic manipulation procedure."},
  year = {2021},
  journal = {"International Journal of Approximate Reasoning"},
  volume = {129},
  pages = {64-83},
  issn = {"0888-613X"},
  url = {"http://www.sciencedirect.com/science/article/pii/S0888613X20302620"},
  doi = {https://doi.org/10.1016/j.ijar.2020.11.004},
}