Results 51 to 60 of about 3,192 (182)
The simulation process depends on generating a series of random numbers subject to the uniform probability distribution in the interval [0, 1]. The generation of these numbers is starting from the cumulative distribution function of the uniform distribution.
Maissam Jdid +2 more
openaire +2 more sources
Big Data and Innovation: The State of the Art and Future Research Directions
ABSTRACT Companies are increasingly aware of the benefits that can come from using big data. Of the various ways firms can make use of big data, in our research we have focused specifically on its use for innovation. As there are still many aspects that need to be clarified in this respect, our study addresses the following research question: how can ...
Francesco Cappa +3 more
wiley +1 more source
The Smarandache's Synonymity Test: similar to, and an extension of, the antonym test in psychology, is a verbal test where the subject must supply as many as possible synonyms of a given word within a as short as possible period of ...
Don Hass
core +1 more source
This paper advances the theory of bipolar Pythagorean neutrosophic fuzzy (BPNF) sets by establishing their formalization within a topological and metric framework, while also demonstrating their role in decision‐making under uncertainty. The main contributions are as follows: (1) definition and characterization of BPNF topological spaces, providing a ...
Akiladevi Natarajan +5 more
wiley +1 more source
n-Valued Refined Neutrosophic Logic and Its Applications to Physics [PDF]
In this paper we present a short history of logics: from particular cases of 2-symbol or numerical valued logic to the general case of n-symbol or numerical valued logic.
Smarandache, Florentin
core +2 more sources
Constraint-wish and satisfied-dissatisfied: an overview of two approaches for dealing with bipolar querying [PDF]
In recent years, there has been an increasing interest in dealing with user preferences in flexible database querying, expressing both positive and negative information in a heterogeneous way.
De Tré, Guy +3 more
core +2 more sources
A New Version of Kumaraswamy Distribution With Estimations and Applications
In this article, the unit interval in the Kumaraswamy distribution is extended to double‐bounded interval. The proposed model is constituted by the transformation of a logistic random variable with a power parameter, flexible enough to fit a wide range of real‐life scenarios involving risk evaluation.
Sadaf Khan +3 more
wiley +1 more source
A Robust, Resilience Machine Learning With a Risk Approach for Project Scheduling
Application of ML for project scheduling. ABSTRACT This study proposes a novel Robust, Resilient, and Risk‐Based approach in Machine Learning (3RML) that emphasizes the application of project scheduling for the first time. A robust stochastic LASSO regression model is proposed to predict project duration. This model seeks to enhance a traditional LASSO
Reza Lotfi +5 more
wiley +1 more source
Foundation Of Neutrosophic Crisp Probability Theory
This paper deals with the application of Neutrosophic Crisp sets (which is a generalization of Crisp sets) on the classical probability, from the construction of the Neutrosophic sample space to the Neutrosophic crisp events reaching the definition of Neutrosophic classical probability for these events.
Alhabib, Rafif +3 more
openaire +1 more source
ABSTRACT This study proposes a novel network architecture called SYnergistic CLosed‐loop Supply Chain Network Design (SYCLSCND), which incorporates antifragility, sustainability, and agility while considering environmental needs, risk, and robustness. Robust Stochastic Optimization (RSO) and weighted value at risk (WVaR) are recommended for coping with
Reza Lotfi +5 more
wiley +1 more source

