شناسايي مهم ترين پارامترهاي موثر در تفكيك سفر با استفاده از روش نظريه مبنا

Recognizing The Most Important Parameters Affecting Individual Mode Choices, Using Rough-Set

Since there are various and numerous parameters affecting individual mode choices, probably we can express that, certainly the recognition of the shortest possible decision making algorithms amid tremendous working parameters can be considered an essential step towards modal-split modeling. One of the latest and most authoritative mathematical instruments to ascertain the shortest decision making algorithms is rough-set theory. The said theory, firstly, was propounded by Pawlak in 1991. The current investigation studies the capabilities of the said theory in Modal-Split modeling. Also the present research aims to realize the most important parameters being decision-making regarding the individual mode choices and extract decision rules whereby the large amount of information, necessary for Modal-Split modeling, can be dwindled. In this research the compiler has attempted to detect the best algorithms of defined attributes, using Step-Wise method, concerning about behavioral specifications of the individual and his/her trip being able to delve the operational capability of rough-set theory. The results indicate the better and stronger performance of rough-set theory concerning the recognition of the best decision-making algorithms (Reducts). Meanwhile, the most important parameters affecting modal choice for Hamedan city as a case study is determined as well. The results shown in this work indicates that the rough-set theory is a more powerful tool comparing to Step-Wise method.