The use of Brzier curves or Brzier surfaces as "faired" interpolation (approximation) curves or surfaces occasionally yields inflection points or changes of sign of the Gaussian curvature which are undesirable in some applications, notably the fairing of ship lines (surfaces) or the fairing of car body surfaces. In the following investigation we use a polarity to detect such undesirable points,...

This article reports the findings of an experiment designed to evaluate the effect of four questionnaire formats on the willingness of drivers convicted of drunken driving to admit to this socially undesirable behaviour. Four samples of convicted drunk drivers each received a different version of a mail questionnaire about driving behaviour and attitudes. Two versions of the questionnaire inclu...

Causality violations are typically seen as unrealistic and undesirable features of a physical model. The following points out three reasons why causal-ity violations, which Bonnor and Steadman identified even in solutions to the Ein-stein equation referring to ordinary laboratory situations, are not necessarily undesirable. First, a space-time in which every causal curve can be extended into a ...

Power transformers are still among the most costly and critical components in an electrical power network. Thus, the importance of a reliable condition assessment of these assets increases due to the aging of transformer fleets. The Sweep Frequency Response Analysis (SFRA) has become an important standard test and provides comprehensive information about the mechanical and electrical integrity ...

Keywords: Data envelopment analysis Target unit Undesirable output Multiple objective linear programming Minimax method a b s t r a c t Data Envelopment Analysis (DEA) is a mathematical programming technique for identifying efficient Decision Making Units (DMUs) with multiple inputs and multiple outputs. DEA provides a technical efficiency score for each DMU, a technical efficiency reference se...

Data envelopment analysis is a method for evaluating the relative efficiency of a collection of decision making units. The DEA classic models calculate each unit’s efficiency in the best condition, meaning that finds a weight that the DMU is at its maximum efficiency. In this paper, utilizing the directional distance function model in the presence of undesirable outputs, the efficiency of each ...

Data envelopment analysis (DEA) creates many opportunities for collaboration between analyst and decision-maker. There are, however, situations in which all of the decision-making units (DMUs) fall under the umbrella of a centralized decision maker that oversees them. Many organizations such as bank branches, chain stores, … can do this. This centralized decision maker unit expect that resource...

Determining the optimal scale size of a combined cycle power plant is inherently a complex problem often with multiple and conflicting criteria as well as uncertain factors. The complexity of the problem is compounded by the production of undesirable outputs and the presence of natural and managerial disposability. We propose a customized data envelopment analysis (DEA) method for solving the r...

Let IMPL and SPEC denote LOTOS-processes describing the implementation and specification of an asynchronous circuit. Assume they have the same alphabet, which is partitioned into an input part and an output part. We define: IMPL realizes SPEC (notation: IMPL |= SPEC) iff the following conditions are met. (1) (IMPL || SPEC) obs.equiv. SPEC. Here '||' denotes full synchronization, except for the ...