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Internal Estimation of the Information Set of an Interval Data Ba...
We consider the method of internal interval estimation of the information set in the parametric identification problem for dynamical systems, where the exp
Internal Estimation of the Information Set of an Interval Data Ba...
We consider the method of internal interval estimation of the information set in the parametric identification problem for dynamical systems, where the exp
Multi-expert multi-criteria decision making based on the likeliho...
Interval type-2 trapezoidal fuzzy sets, as a particular form of interval type-2 fuzzy sets, can precisely characterize the subjective assessments and quali
A MAGDM Method Considering the Amount and Reliability Information...
Intuitionistic fuzzy sets (IFSs) and interval-valued intuitionistic fuzzy sets (IVIFSs) are flexible to deal with the vague and/or imprecise information. T
Comparative evaluation of condition factor and hemato-biochemical...
The reference intervals (RIs) for clinical parameters of fish are crucial to identify abnormal test results. The well-established RIs for hemato-biochemica
Uncertain vibration analysis based on the conceptions of differen...
Recently, the authors proposed a new mathematical model called as the “interval process model” for quantifying uncertainty of time–varyin
Differential gene expression during intra-puparial period of Luci...
One of the main objectives of forensic entomology is to estimate the minimum postmortem interval (PMImin) by analyzing the size and duration of the immatur
Variations in cuticular hydrocarbons of Calliphora vicina (Dipter...
Necrophagous flies, particularly blowflies, serve as vital indicators in forensic entomology and ecological studies, contributing to minimum postmortem int
Factors affecting accuracy and precision of thermal summation mod...
This paper investigates the effects that different summary statistics (minimum, median, mean, or maximum), temporal sampling resolutions (duration between
Factors affecting accuracy and precision of thermal summation mod...
This paper investigates the effects that different summary statistics (minimum, median, mean, or maximum), temporal sampling resolutions (duration between
A new soft computing approach for order diminution of interval sy...
Order diminution plays a significant role in the study of complex dynamical linear interval systems. Numerous strategies have been suggested in diverse fie
Dynamic reliability analysis model for structure with both random...
Aiming at analyzing the safety of the dynamic structure involving both input random variables and the interval ones, a new dynamic reliability analysis mod
Topos Perspective on the Kochen–Specker Theorem: IV. Interval Val...
We extend the topos-theoretic treatment given in previous papers (Butterfield, J. and Isham, C. J. (1999). International Journal of Theoretical Physics 38,
A novel shape function approach of dynamic load identification fo...
Aiming at uncertain structures, a computational inverse approach is proposed to identify the dynamic load on the basis of the shape function method and int
A stochastic sensitivity-based multi-objective optimization metho...
With the increasing penetration of wind power in renewable energy systems, it is important to improve the accuracy of wind speed prediction. However, wind
An evaluation of sampling methods used to produce insect growth m...
Many authors produced carrion insect development data for predicting the age of an insect from a corpse. Under some circumstances, this age value is a mini
A new reliability analysis method for uncertain structures with r...
In this paper, a new reliability analysis method is developed for uncertain structures with mixed uncertainty. In our problem, the uncertain parameters wit
Development of Phormia regina at seven constant temperatures for ...
Phormia regina (Meigen, 1826) (Diptera: Calliphoridae) can colonize carcasses quickly, and its immature stages are reliable entomological evidence for the
A New Failure-Censored Reliability Test Using Neutrosophic Statis...
The failure-censored reliability tests available in the literature are applied when under the assumption that all failure data/observations are precise, cl
Incremental feature selection based on uncertainty measure for dy...
Feature selection is an important strategy for knowledge reduction in rough set. Interval-valued data, as an extension of single values, can better express