نتایج جستجو برای: decision matrix
تعداد نتایج: 706150 فیلتر نتایج به سال:
Project selection is considered as an important problem in project management. It is multi-criteria in nature and is based on various quantitative and qualitative factors. The main purpose of this paper is to present a new rank-based method for project selection in outranking relation. According to this approach, decision alternatives were clustered in the concordance matrix and the discordance...
where x, c, c ∈ R1 , x, c, c ∈ R2 , b ∈ R, A1 is an m × n1 matrix, A2 is an m × n2 matrix, and T denotes the transposition. Such problems may arise when there are two decision makers at different hierarchical levels having joint constraints and different and possibly conflicting objectives. The decision-making process is sequential. The leader controlling the variables of x has the first choice...
Background and aim: correspondence analysis method as the best method to optimize matrix functions that using the risk-injury matrix methods are analyzed. This method reduces the information contained in the risk-injury table and to determine the correlation between the variables in the matrix. The aim of this study is to present accidents and occupational hazards dimensions is dependent to ris...
Background: Identification of hazards is one of the most important parts of industries’ strategies. This can be done using a hazard matrix as an applicable tool which can also rank hazards properly. Methods: In this study, the Delphi method was used to select best alternatives for a hazard matrix. All possible items were gathered and passed Delphi rounds, in which mean, median and standard dev...
In this paper we study fuzzy soft matrix based on reference function.Firstly, we define some new operations such as fuzzy soft complement matrix and trace of fuzzy soft matrix based on reference function.Then, we introduced some related properties, and some examples are given. Lastly, we define a new fuzzy soft matrix decision method based on reference function.
We present a new segmentation approach by thresholding based on learning strategy. This strategy is based only onto one image and its ideal thresholded version. A decision matrix is generated from each pixel and each gray level. At the moment of new images segmentation, the best solution for each pixel is evaluated by means of K Nearest Neighbors in the decision matrix. Comparative tests were p...
Background: Ranking hospitals are important for their staff motivation and lifting spirit of competition and effort. Ranking hospital is not take place unless an accurate assessment is encouraged. In this study, we used FMCDM, BSC approaches to rank Shiraz University of Medical Sciences’ teaching hospitals. Methods: This is a case study. Statistical population consisted of 12 teaching ...
in the explosive growth of business to business (b2b) electronic trades, electronic markets have received a great deal of attention recently. the obtained profit of trading in e-b2b market encourage market participants to remain in the market. market participants consist of: sellers, buyers, and market owner. in this paper the expected profit function for each market participant has been define...
In this paper, we treat information tables with imprecise decisions, for short, imprecise decision tables. In the imprecise decision tables, decision attribute values are specified imprecisely. Under such decision tables, lower and upper object sets for a set of decision attribute values are defined. Their properties are shown. Concepts of reducts of imprecise decision tables are studied. Disce...
abstract in this thesis at first we comput the determinant of hankel matrix with enteries a_k (x)=?_(m=0)^k??((2k+2-m)¦(k-m)) x^m ? by using a new operator, ? and by writing and solving differential equation of order two at points x=2 and x=-2 . also we show that this determinant under k-binomial transformation is invariant.
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