Clinical effect of fuzzy numbers based on center of gravity

In this study, a model called “fuzzy reasoning model” was proposed for the case when the explanatory variables were crisp and the value of the binary response variable was reported as a number between zero and one. In this regard, the concept of possibilistic odds is also introduced. Then, the methodology and formulation of this model was used to explain the model parameters. Some goodness of fit criteria were proposed and a numerical example was given as an example.Key words: Fuzzy number, defuzzification, centroid, clinical research

Defuzzication through a Bi-Symmetrical Weighted Function

Abstract: In this endeavor, the researchers discuss the problem of defuzzification by minimizing the weighted distance between two fuzzy quantities. Also, this study obtains the nearest point with respect to a fuzzy number and shows that this point is unique relative to the weighted distance. By utilizing this point, a method is presented for effectively ranking various fuzzy numbers and their images to overcome the deficiencies of the previous techniques. Finally, several numerical examples following the procedure indicate the ranking results to be valid

Molecular and clinical analysis of Ellis-van Creveld syndrome in the United Arab Emirates

<p>Abstract</p> <p>Background</p> <p>Ellis-van Creveld (EvC) syndrome is an autosomal recessive chondrodysplastic condition with clinical manifestations that include short-limbs and ribs, postaxial polydactyly and dysplastic nails and teeth. In about two thirds of patients, mutations in either <it>EVC </it>or <it>EVC2 </it>genes have been found to be the underlying cause.</p> <p>Methods</p> <p>In this paper, we describe the molecular (DNA sequencing) and clinical analysis of six children diagnosed with EvC from four different families from the United Arab Emirates (UAE).</p> <p>Results</p> <p>All the children had the common clinical and radiological features of this syndrome. However, DNA sequence analysis of the genes shown to be involved (<it>EVC </it>and <it>EVC2</it>) revealed a novel splice site mutation (c.2047-1G>T) in intron 13 of <it>EVC2 </it>gene in one family. In addition, we confirm previous mutational analyses that showed a truncating mutation in exon 13 of <it>EVC </it>gene (c.1813C>T; p.Q605X) in the second family and a single nucleotide deletion (c.981delG; p.K327<it>fs</it>) in exon 8 of <it>EVC2 </it>gene in the third family. No mutations in the exons, splice sites or the promoter regions of either gene have been found in the index case of the fourth family who exhibited "EvC-like" features.</p> <p>Conclusions</p> <p>Given the small population size of UAE, our data illustrates further the molecular heterogeneity observed in EvC patients and excludes the possibility of a common founder effect for this condition in the UAE reflecting the current ethnic diversity of the country.</p

AENSI Journals Advances in Environmental Biology Measurements and Factors Analysis of Fuzzy Numbers: A Case Study Involvinga Clinical Effect

We suggest a new approach to the problem of defuzzificarion. This approach is a knowledge-based approach in that it uses knowledge in terms of root mean square function to help to more intelligently guide the defuzzification process. This approach makes use of a view of the defuzzification process as a kind of clustering problem and uses the basic idea used in the mountain clustering method. The results of Fuzzy quality function deployment also show that reinforcing RMS enablers is necessary to promote elements in the root mean square process for the case hospital during RMS program implementation

A Method for Defuzzification Based on Probability Density Function (II)

Abstract The concept of (fuzzy) probability density function of fuzzy random variable is proposed in this paper. Due to the &quot;resolution identity&quot;, we can construct a closed fuzzy number from a family of closed intervals. Using the same technique, we can construct the (fuzzy) probability density function of fuzzy random variable from the known probability density function. The basic idea of the new method is to obtain a method to rank fuzzy number which a fuzzy quantity is related to. The paper must have abstract

A Method for Ranking of Fuzzy Numbers Using New Weighted Distance

In this paper, the researchers proposed a modified new weighted distance method to rank fuzzy numbers. The modified method can effectively rank various fuzzy numbers, their images and overcome the shortcomings of the previous techniques. The proposed model is studied for a broad class for fuzzy numbers and class of functions the membership of which is formed on the basis of the template ( ) max (0.1 ) s x x . This article also used some comparative examples to illustrate the advantage of the proposed method

An Approximation Approach for Ranking Fuzzy Numbers Based on Weighted Interval - Value

In the present paper, the researchers discuss the problem of weighted interval approximation of fuzzy numbers. This interval can be used as a crisp set approximation with respect to a fuzzy quantity. Then, by using this, the researchers propose a novel approach to ranking fuzzy numbers. This method can effectively rank various fuzzy numbers, their images and overcome the shortcomings of the previous techniques