This paper focuses on the robustness problem of full implication triple implication inference method for fuzzy reasoning. First of all, based on strong regular implication, the weighted logic metric for measuring distance between two fuzzy sets is proposed. Besides, under this metric, some robustness results of the triple implication method are obtained, which demonstrates that the triple impli...

the cross efficiency evaluation is used to performance measurement of decision making units in data envelopment analysis concept. one of the most important shortcoming of this method is existing alternative optimal solution and therefore, the efficiency scores are not unique. we are going to summarize the pervious models proposed by researchers and suggest an alternative secondary goal approach...

to survive in today’s competitive environment, companies need continues improvement to achieve goals such as increasing the accuracy of targeting, improving product or service. however, there is no improvement guaranty without performance evaluation. an organization must assess current performance before embarking on any improvement. if it does not, it will have no baseline from which to determ...

Jitter is a fundamental metric of voice quality. The majority of jitter estimators produce an average value over a duration of several pitch periods. This paper proposes a method for short-time jitter measurement, based on a mathematical model which describes the coupling of two periodic phenomena. The movement of one of the two periodic phenomena with respect to the other is what is considered...

decision making about outsourcing or insourcing of manufacturing activities is a type of multiple criteria decision making (mcdm) problem, which requires considering quantitative and qualitative factors as evaluation criteria simultaneously. therefore, a suitable mcdm method can be useful in this area as it can consider the interactions among quantitative and qualitative criteria. the analytic ...

this paper introduces discretionary imprecise data in data envelopment analysis (dea) and discusses the efficiency evaluation of decision making units (dmus) with non-discretionary imprecise data. then, suggests a method for evaluation the efficiency of dmus with non-discretionary imprecise data. when some inputs and outputs are imprecise and non-discretionary, the dea model becomes non-linear ...

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...

The current paper proposes a novel color correction approach based on a probabilistic segmentation framework by using 3D Gaussian Mixture Models. Regions are used to compute local color correction functions, which are then combined to obtain the final corrected image. The proposed approach is evaluated using both a recently published metric and two large data sets composed of seventy images. Th...

a successful software should be finalized with determined and predetermined cost and time. software is a production which its approximate cost is expert workforce and professionals. the most important and approximate software cost estimation (sce) is related to the trained workforce. creative nature of software projects and its abstract nature make extremely cost and time of projects difficult ...