Interval programming models for matrix games with interval payoffs Deng-Feng Li a , Jiang-Xia Nan b & Mao-Jun Zhang c a School of Management, Fuzhou University, Fuzhou, 350108, Fujian, People's Republic of China b College of Information Engineering, Dalian University, Dalian, 116622, Liaoning, People's Republic of China c Department of Economics, Dalian University of Technology, Dalian, 116024,...

The author previously proposed an extension of differential evolution. The proposed method extends the processes of DE to handle interval numbers as genotype values so that DE can be applied to interval-valued optimization problems. The interval DE can employ either of two interval models, the lower and upper model or the center and width model, for specifying genotype values. Ability of the in...

Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative technical efficiency for each member of a set of peer decision making units (DMUs) with multiple inputs and multiple outputs. The original DEA models use positive input and output variables that are measured on a ratio scale, but these models do not apply to the variables in which interval scale data can appe...

A novel approach to the problem of regression modeling for fuzzy input-output data is introduced.In order to estimate the parameters of the model, a distance on the space of interval-valued quantities is employed.By minimizing the sum of squared errors, a class of regression models is derived based on the interval-valued data obtained from the $alpha$-level sets of fuzzy input-output data.Then,...