Recently, Calantone, Di Benedetto, and Schmidt [2] presented an Analytic Hierarchy Process (Am) modeling approach to new product screening. The illustration of this approach is an example of a decision support model that seeks to aid managers in selecting new product ideas to pursue. In this paper we improve upon this initial AHP model using a "fuzzy" mathematical application. This use of fuzzy...

having knowledge about behavioral biases, investors are able to evaluate their decision process with more awareness and they can react much better when facing such biases, as a result decisions deviation will be minimized. in this study, 36 different behavioral biases have been categorized into 5 different groups to normalize the effective behavioral biases in the process of decision making of ...

Routing flexibility provides the ability of FMS to efficiently encounter traffic problems caused by machine breakdown, excessive workload, etc. The advantages of imposing routing flexibility can be fully obtained by a competent part roufing rule. In this study, Fuzry Analytical Hierarchy Process (Fuzry AHP) is applied to form part routing rules from the attributes of alternate machines: workloa...

Estimation of distribution algorithm for optimization of neural networks for intrusion detection system p. 9 Neural network implementation in reprogrammable FPGA devices-an example for MLP p. 19 A new approach for finding an optimal solution and regularization by learning dynamic momentum p. 29 Domain dynamics in optimization tasks p. 37 Nonlinear function learning by the normalized radial basi...

This study investigated the strategic planning procedure used by University of Jeddah to determine which its efficacy criteria are most significant for future development. A university's performance is founded on ability capitalize specialization and set skills obtained through meticulous development involves setting goals using analysis tools compare options prioritize constructs. Evaluation a...

In this paper an efficient three- stage algorithm is developed for software production cost and time estimation. First stage includes a hybrid model composed of COCOMO and Function Points methods to increase estimation accuracy. Second stage encompasses paired comparisons matrix of analytical hierarchy process to determine amount of any resources consumed in each step of software production by ...