this study is an investigation of fuzzy linear regression model for crisp/fuzzy input and fuzzy output data. a least absolutes deviations approach to construct such a model is developed by introducing and applying a new metric on the space of fuzzy numbers. the proposed approach, which can deal with both symmetric and non-symmetric fuzzy observations, is compared with several existing models by...

With the advancement of Internet Things (IoT) and communication platform, large-scale sensor deployment can be easily implemented in an urban city to collect various information. To date, there are only a handful research studies about understanding usage public spaces. Leveraging IoT, sensors have been deployed residential area monitor study space utilization patterns. In this article, we prop...

nonlinear knapsack problems (nkp) are the alternative formulation for the multiple-choice knapsack problems. a powerful approach for solving nkp is dynamic programming which may obtain the global op-timal solution even in the case of discrete solution space for these problems. despite the power of this solu-tion approach, it computationally performs very slowly when the solution space of the pr...