Here in this article, a hybrid MCDM method on the Pythagorean fuzzy-environment is presented. This based Fuzzy Method Removal Effects of Criterion (PF-MEREC) and Stepwise Weight Assessment Ratio Analysis (SWARA) approaches. Here, objective subjective weights are assessed by PF-MEREC, SWARA model preference order ranking various alternatives done through Complex Proportional (COPRAS) framework fuzzy set (PFS). The proposed MEREC, COPRAS methods. Further, used to identify best banking...

This paper presents a novel approach based on hybrid feature selection that significantly reduces dimensionality of features. In this paper, an efficient method consisting ReliefF and PCA is proposed which shows remarkable results with different chronic disease datasets. The presented work suitable for both text micro-array datasets determines the optimal value threshold relevant non-redundant To validate performance work, ten popular benchmark are used. With obtained, it found more than 50%...

Families of fourth-order methods are presented which obtained by existing third-order applied in succession with the secant method.

Interval-valued intuitionistic fuzzy set (IVIFS) has developed to cope with the uncertainty of imprecise human thinking. In present communication, new entropy and similarity measures for IVIFSs based on exponential function are presented compared existing measures. Numerical results reveal that proposed information attain higher association measures, which demonstrate their efficiency reliability. To deal interactive characteristics among elements in a set, Shapley weighted measure is...

Chronic diseases represent a major health burden worldwide. Machine learning techniques have been extensively used in the medical field to diagnose chronic diseases. In this research, fast, novel adaptive classification system is presented for diagnosis of For purpose, proposed approach employs hybrid comprising PCA and ReliefF method with optimized Support Vector classifier. To attain high accuracy, comprehensibility, consistency, efficient parameter optimization applied SVM evaluate...

In present communication, based on the axiomatic definition of distance measure some new formulae fuzzy measures are proposed and cited. Fuzzy information induced by these defined. Further, characterization σ - defined sets as a metric is studied finally, obtained listed.

A primary expected benefit of object-oriented (OO) methods is the creation software systems that are easier to adapt and maintain. OO design patterns especially geared improve adaptability, since generally increase complexity an initial in order ease future enhancements. For really provide benefit, they must reduce cost adaptation. The evidence improvements adaptability through use other structures consists primarily intuitive arguments examples. There little empirical support claims...

In the present communication, logarithmic fuzzy information measures are discussed and studied their validity. The relations among various established. Further, based on measures, discrimination proposed properties of measures. Finally, efficiency measure in real life problems pattern recognition medical diagnosis is illustrated numerically.

Chronic Kidney Disease (CKD) has become a prevalent disease nowadays, affecting people globally around the world.Accurate prediction of CKD progression over time is essential for reducing its associated mortality and morbidity rates.This paper proposes fast, novel hybrid approach to diagnose Renal Disease.The proposed based on optimization SVM classifier with hybridized dimensionality reduction identify most informative parameters diagnosis.It handles selection features through two steps.The...

In the present communication, two exponential fuzzy information measures are introduced and characterized axiomatically.To show effectiveness of proposed measure, it is compared with existing measures.Two discrimination symmetric defined their validity checked.Important properties new studied.Their applications in pattern recognition diagnosis problem crop disease discussed.

A two-phase diagnostic framework based on hybrid classification for the diagnosis of chronic disease is proposed. In first phase, feature selection via ReliefF method and extraction PCA are incorporated. second efficient optimization SVM parameters grid search performed. The proposed approach then tested with seven popular datasets using a cross-validation method. Experiments conducted to evaluate presented vis-à-vis four other existing classifiers that applied same datasets. Results show...

Diagnosis of diseases at an early stage is a crucial task in the medical field. A hybrid machine learning framework presented for diagnosis breast cancer and diabetes using efficient feature selection classification technique. This research identifies significant risk factors related to both chronic disease datasets by applying different techniques hybridization ReliefF Feature Ranking with Principal Component Analysis (PCA) method. To evaluate effectiveness method, k-nearest neighbor method...

Aims and Objective: To compare the attitude awareness of dental medical students in first final academic years to trace change their towards oral health; also bring out differences/similarities response questionnaire based on gender. Materials methods: A modified version HU-DBI was used conduct survey colleges India. total 279 were recruited study. The data collected concerned hygiene attitude, complaints previous visits dentists. Results: Significant differences found for 9 17 items,...

Early diagnosis of a disease is vital task in medical informatics.Data mining one the principal contributors this discipline.Utilization Data Mining Technology Disease Forecasting System recognized trend and successfully emerging domain.In today`s world, Heart most prevalent among people with high mortality rate.It essential to classify reports heart patients into correct subclasses lower fatality rate.Over years, classification prediction approaches has been used extensively for...

Abstract This paper concentrates on the role of prostitutes in HIV/AIDS disease transmission among common population. In this communication, a nonlinear Susceptible-Infected-Treated-AIDS infected (SITA) model is developed to study dynamics infection three different classes. The behavior analyzed by basic reproduction number R 0 and results are investigated using stability theory differential equations. Analysis demonstrates that disease-free equilibrium locally stable for <m:math...