نتایج جستجو برای: artificial dmu benchmarking practical production possibility set
تعداد نتایج: 1817339 فیلتر نتایج به سال:
The current world is moving towards the development of hardware or software presence of artificial intelligence in all fields of human work, and architecture is no exception. Now this research seeks to present a theoretical and practical model of intuitive design intelligence that shows the problem of learning layout and spatial relationships to artificial intelligence algorithms; Therefore, th...
A novel Customized Agro-industrial Produce Design (CAPD) scheme is highlighted to monitor the plant factory production systems. The expected outcome is to provide every consumer with a produce that matches his or her unique mentality. The new challenges of CAPD are consisting of non-linear and complex interaction between the bio-response parameters and human mentality process involved. As the s...
Latest scientific and engineering advances have started to recognize the need of defining multiple types of uncertainty. Probabilistic modeling cannot handle situations with incomplete or little information on which to evaluate a probability, or when that information is nonspecific, ambiguous, or conflicting [1]. Many generalized models of uncertainty have been developed to treat such situation...
This paper investigates a procedure for identifying all efficient hyperplanes of production possibility set (PPS). This procedure is based on a method which recommended by Pekka J. Korhonen[8]. He offered using of lexicographic parametric programming method for recognizing all efficient units in data envelopment analysis (DEA). In this paper we can find efficient hyperplanes, via using the para...
This paper presents a model for ranking efficient units by a new approach. In the proposed method, the idea of excluding the unit being scored from the production possibility set is changed to the idea of weakening the unit being scored. We propose a model for ranking efficient DMUs that is more efficient and less problematic than the models based on excluding the under evaluation unit.
Data Envelopment Analysis (DEA) is a mathematical programming approach to assess relative efficiencies with a group of decision making units (DMUs) such as production systems. There have been some useful models for their successful applications in many fields. In this paper, we first point out the defect of the first DEA model CCR (Charnes, Cooper and Rhodes, 1978) in measuring the efficiencies...
The phase behavior of dioleoylphosphatidylethanolamine in aqueous solutions of urea, N,N'-dimethylurea (DMU), and N,N,N',N'-tetramethylurea (TMU) has been characterized by synchrotron X-ray diffraction and differential scanning calorimetry. All three solutes stabilize the lamellar liquid-crystalline phase at the expense of lamellar-gel phase and inverted hexagonal phase of the phospholipid when...
The development of B lymphocytes from progenitor cells is dependent on the expression of a pre-B cell-specific receptor made up by a mu heavy chain associated with the surrogate light chains, immunoglobulin (Ig)alpha, and Igbeta. A variant pre-B cell receptor can be formed in which the mu heavy chain is exchanged for a truncated mu chain denoted Dmu. To investigate the role of this receptor in ...
This study addresses the problem of finding the range of efficiency for each Decision Making Unit (DMU) considering uncertain data. Uncertainty in the DMU coefficients in each factor (input or output) is captured through interval coefficients (i.e., these are uncertain but bounded). A twophase additive Data Envelopment Analysis (DEA) model for performance evaluation is used, which is adapted to...
Abstract Choosing the Most Preferred Solution (MPS), namely a real or artificial Decision Making Unit (DMU) reflecting decision maker’s preferences over desirable structure of inputs and outputs, is particular importance in Value Efficiency Analysis (VEA). In this paper, we review various MPS choices used VEA literature propose some new, which rely respectively on relative position frontier DMU...
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