The fuzzy measure can highlight important information in analyzing component features, patterns, and trends. However, fuzzy densities and interaction effects are usually unknown or uncertain for implications thus making the fuzzy measure limited in applications. This research proposes an extended fuzzy measure to derive the conditional fuzzy densities from dominance-based rough set approach (DR...

the present study is an attempt towards remodeling cost, revenue and profit relationship within the network process. the previous models of data envelopment analysis (dea) have been too general in their scope and focused on the input and the output within a black box system, therefore they have not been able to measure various phases simultaneously within a network system. by using these models...

As a non-parametric technique, Data Envelopment Analysis (DEA) evaluates the relative efficiency of peer decision making units (DMUs) that have multiple inputs and outputs. In many situations, DMUs have a two-stage structure, where * Corresponding author. E-mail address: [email protected] (A. Ashrafi) 1436 A. Ashrafi, A. B. Jaafar, L. S. Lee and M. R. Abu Bakar the first stage uses inputs to ...

Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiency of a set of decision making units (DMUs), such as companies or public sector agencies. The main DEA models are only used for positive data. In recent years, some models have been presented to deal with negative data in DEA models. However, these models do not discriminate between efficient DMUs and only eval...

We examine how the understanding of novel nounnoun compounds is facilitated by priming from similar, previously-encountered compounds. Similarity between a set of familiar primes and two sets of target phrases was defined using a computational model. This similarity classification was further validated with a rating study. Two reaction time experiments showed that people find it easier to under...

Given an arbitrary number of automated vehicles, the researchers designed an algorithm to maximize the number of possible lane changes on an arbitrary segment of a highway at any given time. The proposed algorithm utilizes information such as vehicles’ positions, speeds, and time slacks to make judicious lane change decisions without requiring prior knowledge of traffic patterns or unnecessary ...

Coelli (Oper. Res. Lett. 23 (1998) 143) introduced a multi-stage (MS-) DEA methodology that represents an interesting alternative for the treatment of slacks remaining after proportional correction in inputs or outputs. By solving a sequence of radial models, one thus arrives at the identi5cation of “more representative e7cient points” (in terms of similar input=output mixes). We show that “mos...

A network is said to be survivable if it has sufficient capacity for rerouting all of its flow under the failure of any one of its edges. Here we present a polyhedral approach for designing survivable networks. We describe a mixed–integer programming model, in which sufficient slack is explicitly introduced on the directed cycles of the network while flow routing decisions are made. In case of ...

A new approach or model to the dynamic DEA, referred to as the adjusted dynamic DEA, is proposed in this study. Adjusted dynamic DEA optimizes the production activity of DMUs by introducing adjustment variables to modify the interconnecting activities between consecutive terms, solving conflicts that arise between terms and between management and shareholders. The non-oriented SBM model is used...