the goal of this paper is to develop a decision support system (dss) as a journey planner in complex and large multimodal urban network called rahyar. rahyar attempts to identify the most desirable itinerary among all feasible alternatives. the desirability of an itinerary is measured by a disutility function, which is defined as a weighted sum of some criteria. the weights represent travelers’...

abstract one of the important economic problems in arid and semi-arid regions is insufficient water for agricultural purposes as it is evident for other purposes. accordingly, sustainable management of water resources becomes an important challenge for policymakers. this study investigated water use planning based on the fluctuation of rainfall and the random nature of water resources in firoza...

this paper presents the formulation and solution of the combinatorial multi-mode resource constrained multi-project scheduling problem. the focus of the proposed method is not on finding a single optimal solution, instead on presenting multiple feasible solutions, with cost and duration information to the project manager. the motivation for developing such an approach is due in part to practica...

Traditional techniques of data analysis do not enable the solution of all kind of problems and for that reason they have become insufficient. This caused a new interdisciplinary field of data mining to arise, encompassing both classical statistical, and modern machine learning techniques to support the data analysis and knowledge discovery from data. Data mining methods are powerful in dealing ...

Recent alliance use a come to of types of decision support systems to make feasible decision support. In lots of gear OLAP based tools are used in the industry area enabling quite a few views on data and all the way on or after side to side that a deductive go forward to data analysis. Data mining make bigger the credible for decision support by discover pattern and relatives unseen in data and...

The paper presents a multi-factor decision-making approach for prioritizing failure modes as an alternative to traditional approach of failure mode and effect analysis (FMEA). The approach is based on the ‘technique for order preference by similarity to ideal solution’ (TOPSIS). The priority ranking is formulated on the basis of six parameters (failure occurrence, non-detection, maintainability...