Results 81 to 90 of about 3,021 (185)
Researchers under classical statistics often rely on precise, determinate data to estimate population parameters. However, in certain situations, data may be indeterminate or imprecise. Traditional approaches often fail to manage the complexities of uncertainty, necessitating the development of advanced methodologies like neutrosophic statistics.
Anamika Kumari +3 more
wiley +1 more source
Neutrosophic statistical test for counts in climatology.
The existing F-test for two counts data from the Poisson distribution under classical statistics can be applied only when the counts in the data are exact or not intervals. The existing test cannot be applied when the count data is indeterminate, in the interval, and uncertain. In this paper, the F-test for two counts data from the Poisson distribution
openaire +2 more sources
In graph theory, the Randic index (R) is a topological graph invariant widely used as a physicochemical descriptor in the mathematical modeling of molecular structures. However, traditional molecular graphs fail to capture the heterogeneity of chemical bonds, since they treat all edges as uniform, ignoring variations in bond lengths and strengths.
Ying Wang +5 more
wiley +1 more source
The knitting of wool is a complicated textile process that is driven by nonlinear interactions of yarn tension, loop creation, and needle dynamics. These interactions have a considerable impact on the quality of the fabric as well as the efficiency with which it is produced.
Suresh Kumar Sahani +3 more
wiley +1 more source
Ideological systems and its validation: a neutrosophic approach [PDF]
Ideologies face two critical problems in the reality, the problem of commitment and the problem of validation. Commitment and validation are two separate phenomena, in spite of the near universal myth that the human is committed because his beliefs are ...
Nescolarde-Selva, Josué Antonio +1 more
core +1 more source
Heterogeneity Measures for Analyzing the Scale Effect and Anisotropy of Joint Roughness
Joint roughness of rock joints is one of the key factors influencing the mechanical properties of rock joints. The influence of joint roughness on the mechanical properties of rock mass is usually quantitatively characterized by joint roughness coefficient (JRC).
Jibo Qin +3 more
wiley +1 more source
Plan for Food Inspection for Inflated-Pareto Data Under Uncertainty Environment
The existing sampling plans for food inspection have been designed under classical statistics. These sampling plans are applied in the food industry under the assumption that all observations are determined, clear and certain. The neutrosophic statistics
Muhammad Aslam +3 more
doaj +1 more source
Papers on neutrosophy (a generalization of dialectics), on neutrosophic logic, set, probability and statistics (generalizations of fuzzy logic, fuzzy set, and imprecise probability respectively), by Florentin Smarandache, Jean Dezert, S. Bhattacharya, Andrzej Buller, M. Khoshnevisan, S. Singh, Feng Liu, Gh. C.
Smarandache, Florentin +9 more
openaire +2 more sources
Evaluating service quality presents a multicriteria decision‐making (MCDM) challenge, involving numerous factors that contribute to its complexity. Traditional approaches to assessing service quality frequently struggle to encapsulate the ambiguity and uncertainty in user experiences, particularly when confronted with intricate, multidimensional ...
Zhengfu Yu +5 more
wiley +1 more source

