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Articles 1 - 13 of 13
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Neutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Predictionneutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Prediction, Olfat M. Mirza, Ahmed H. Samak
Neutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Predictionneutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Prediction, Olfat M. Mirza, Ahmed H. Samak
Applied Mathematics & Information Sciences
The necessity for sophisticated and precise diagnostic instruments for the prompt recognition of COVID-19 patients has been highlighted by the continuing worldwide epidemic. In this regard, this study presents a unique method for accurately classifying X-ray images of chest in COVID-19 prediction by combining Neutrosophic Fuzzy Logic with a Hybrid CNN and LSTM architecture. Medical image analysis involves uncertainties and imprecise information, which is handled via Neutrosophic Fuzzy Logic. The suggested hybrid model offers a thorough comprehension of the spatial and temporal patterns in chest X-ray pictures by utilizing the advantages of CNN for feature extraction and LSTM for sequential …
Neutrosophic Adaptive Lsb And Deep Learning Hybrid Framework For Ecg Signal Classification, Abdallah Rezk, Ahmed S. Sakr, H. M. Abdulkader
Neutrosophic Adaptive Lsb And Deep Learning Hybrid Framework For Ecg Signal Classification, Abdallah Rezk, Ahmed S. Sakr, H. M. Abdulkader
Applied Mathematics & Information Sciences
This paper proposes a novel hybrid framework for ECG signal classification and privacy preservation. The framework includes two phases: the first phase uses LSTM+CNN with attention gate for ECG classification, while the second phase utilizes adaptive least signal bit with neutrosophic for hiding important data during transmission. The proposed framework converts data into three sets of degrees (true, false, and intermediate) using neutrosophic and passes them to an embedding layer. In the sender part, the framework hides important data in ECG signal as true and false degrees, using the intermediate set as a shared dynamic key between sender and receiver. …
Generalization Of Renyi’S Entropy And Its Application In Source Coding, Ashiq Hussain Bhat, Niyamat Ali Siddiqui, Ismail A Mageed, Shawkat Alkhazaleh, Vidyanand Rabi Das, M. A. K Baig
Generalization Of Renyi’S Entropy And Its Application In Source Coding, Ashiq Hussain Bhat, Niyamat Ali Siddiqui, Ismail A Mageed, Shawkat Alkhazaleh, Vidyanand Rabi Das, M. A. K Baig
Applied Mathematics & Information Sciences
In this paper, we introduce a new generalization of Renyis entropy β(P) and the most important feature of this generalized entropy Rαβ (P) is that it derives most important entropies that are well known and influence information theory and applied mathematics. Some significant properties of Rαβ (P) has been undertaken in this article. In addition, we introduce a new generalized exponentiated mean codeword length Lβα (P) in this article then determine how Rβα (P) and Lβα (P) are related in terms of source coding theorem.
Novel Framework For Selecting Cloud Provider Using Neutrosophic And Modified Gan, Mohammed Attya, Ahmed S. Sakr, H. M. Abdulkader, Faisal Al-Showaikh, M. Kamel El-Sayed
Novel Framework For Selecting Cloud Provider Using Neutrosophic And Modified Gan, Mohammed Attya, Ahmed S. Sakr, H. M. Abdulkader, Faisal Al-Showaikh, M. Kamel El-Sayed
Applied Mathematics & Information Sciences
Cloud computing is very important for many companies in the process of progress. The main problem for any company when transferring their work to the cloud is selecting the most suitable cloud provider among the availability of different cloud service providers with different properties and different alternatives. This paper introduces a novel framework that can be used for selecting the most suitable provider in the case of missing values in the evaluation of alternatives. The framework is composed of two steps; the first step in the framework is about using the Modified Generative Adversarial Network (M-GAN) for data imputation of …
Linear Fractional Programming Based On Trapezoidal Neutrosophic Numbers, A. M. Elhadidi, O. E. Emam, A. M. Abdelfadel, Mansour Lotayif
Linear Fractional Programming Based On Trapezoidal Neutrosophic Numbers, A. M. Elhadidi, O. E. Emam, A. M. Abdelfadel, Mansour Lotayif
Applied Mathematics & Information Sciences
In this paper, we introduce a new solution technique for resolving the neutrosophic linear fractional programming problem, where the objective function’s coefficients are neutrosophic trapezoidal-numbers. We convert the problem into a crisp multi-objective linear fractional programming. The transformed multi-objective linear fractional programming problem is reduced to a single-objective linear programming problem (LP) by using the proposed approach, which can be easily solved by suitable algorithm. A numerical example is given to verify the proposed method.
On Solutions Of Fully Fuzzy Linear Fractional Programming Problems Using Close Interval Approximation For Normalized Heptagonal Fuzzy Numbers, Majed G. Alharbi, Hamiden Abd El- Wahed Khalifa
On Solutions Of Fully Fuzzy Linear Fractional Programming Problems Using Close Interval Approximation For Normalized Heptagonal Fuzzy Numbers, Majed G. Alharbi, Hamiden Abd El- Wahed Khalifa
Applied Mathematics & Information Sciences
This paper attempts to solve the linear fractional programming problem with fully fuzzy normalized heptagonal fuzzy numbers using the close interval approximation of normalized heptagonal fuzzy number, which is one of the best interval approximations. The maximization (minimization) problem with interval objective function is converted into multi- objective based on order relations introduced by the decision makers’ preference between interval profits (costs). Finally, an example is presented to illustrate the proposed method.
An Inexact Rough Interval Of Normalized Heptagonal Fuzzy Numbers For Solving Vendor Selection Problem, Hamiden Abd El-Wahed Khalifa, Pavan Kumar, Bayoumi Ali Hassan
An Inexact Rough Interval Of Normalized Heptagonal Fuzzy Numbers For Solving Vendor Selection Problem, Hamiden Abd El-Wahed Khalifa, Pavan Kumar, Bayoumi Ali Hassan
Applied Mathematics & Information Sciences
Vendor selection problem is considered very complicated because a variety of unpredictable and uncontrollable factors affected the evaluation and decision making process. In this paper, a vendor selection problem (VSP) where the buyer allocates a quantity order for a commodity among a set of supplier to achieve the requirements of aggregate cost, service and lead time at the maximum equality is studied. One of the best inexact intervals, namely an inexact rough interval of normalized heptagonal fuzzy numbers is proposed. An inexact rough interval of normalized heptagonal fuzzy numbers for solving VSP without converting it into a deterministic (crisp) problem …
New Method To Optimize The Fully Neutrosophic Linear Programming Problems, A. M. Elhadidi, O. E. Emam, A. M. Abdelfadel
New Method To Optimize The Fully Neutrosophic Linear Programming Problems, A. M. Elhadidi, O. E. Emam, A. M. Abdelfadel
Applied Mathematics & Information Sciences
The present paper investigates the neutrosophic linear programming (LP) models in line with their advantages, where their parameters are represented with a trapezoidal neutrosophic number, and a method to solve them has been introduced. With some mathematical examples, the introduced method has been represented and demonstrated its predominance with the state of the art by comparison. Finally, we conclude that the proposed approach is easier, more effective, and suitable for solving the neutrosophic LP models compared to other approaches.
A Decomposition Algorithm For Solving Multi-Level Large-Scale Linear Programming Problems With Neutrosophic Parameters In The Constrains, O. E. Emam, Manal A. Abdel-Fattah, Safaa.M. Azzam
A Decomposition Algorithm For Solving Multi-Level Large-Scale Linear Programming Problems With Neutrosophic Parameters In The Constrains, O. E. Emam, Manal A. Abdel-Fattah, Safaa.M. Azzam
Applied Mathematics & Information Sciences
Multi-level programming (MLP) is an important branch of operation research. The majority of optimization problems- humans currently face- have very large numbers of variables and constraints and are called large-scale programming problems. However, practical situations entail some imprecision regarding some decisions and performances. Neutrosophic sets play a vital role by considering three independent degrees, namely, the truth membership degree, indeterminacy membership degree, and falsity membership degree, of any aspect of an uncertain decision. The present study focuses on solving multi-level large-scale linear programming problems with neutrosophic parameters in the constrains by considering the problem coefficients to be trapezoidal neutrosophic numbers. …
Isomorphism Theorem For Neutrosophic Submodules, R. Binu, P. Isaac
Isomorphism Theorem For Neutrosophic Submodules, R. Binu, P. Isaac
Applied Mathematics & Information Sciences
In this paper, we investigate some new features of neutrosophic submodules and their properties. The neutrosophic quotient module and restriction of a neutrosophic submodule to a submodule of R-module are defined. The three fundamental theorems of module isomorphism are extended to isomorphism of neutrosophic submodules.
A Multi-Criteria Neutrosophic Group Decision Making Method Based Topsis For Supplier Selection, Rıdvan Sahin, Muhammet Yigider
A Multi-Criteria Neutrosophic Group Decision Making Method Based Topsis For Supplier Selection, Rıdvan Sahin, Muhammet Yigider
Applied Mathematics & Information Sciences
The process of multi-criteria group decision making (MCGDM) is of determining the best choice among all of the probable alternatives. The problem of supplier selection on which decision maker has usually vague and imprecise knowledge is a typical example ofmulti criteria group decision-making problem. The conventional crisp techniques has notmuch effective for solvingMCDMproblems because of imprecise or fuzziness nature of the linguistic assessments. To find the exact values for MCGDM problems is both difficult and impossible in more cases in real world. So, it is more reasonable to consider the values of alternatives according to the criteria as single valued …
On The Generation Of Rogue Waves In Dusty Plasmas Due To Modulation Instability Of Nonlinear Schr ¨Odinger Equation, S. M. Ahmed, M. S. Metwally, S. A. El-Hafeez, W. M. Moslem
On The Generation Of Rogue Waves In Dusty Plasmas Due To Modulation Instability Of Nonlinear Schr ¨Odinger Equation, S. M. Ahmed, M. S. Metwally, S. A. El-Hafeez, W. M. Moslem
Applied Mathematics & Information Sciences
The release of rogons (rogue waves) associated with the electrostatic perturbations in dusty plasmas containing twotemperature ions is investigated. Solving the fluid equations using perturbation method, a nonlinear Schr¨odinger equation (NLSE) is derived for the electrostatic potential amplitude, associated with the propagation of envelope wavepackets. The solution of the NLSE is presented, which proposed as an effective tool for studying the rogons in different Saturn’s rings (i.e. E-ring, F-ring, and B-ring). Our analysis indicates that the plasma parameters of the E-ring cannot support the propagation of rogue waves, but the rogue waves may exist in B- and F-rings. The existence …
A Multi-Criteria Decision-Making Approach Based On Todim And Choquet Integral Within A Multiset Hesitant Fuzzy Environment, Juan-Juan Peng, Jian-Qiang Wang, Huan Zhou, Xiao-Hong Chen
A Multi-Criteria Decision-Making Approach Based On Todim And Choquet Integral Within A Multiset Hesitant Fuzzy Environment, Juan-Juan Peng, Jian-Qiang Wang, Huan Zhou, Xiao-Hong Chen
Applied Mathematics & Information Sciences
Hesitant fuzzy sets (HFSs), which were generalized from fuzzy sets, constrain the membership degree of an element to be a set of possible values between zero and one; furthermore if two or more decision-makers select the same value, it is only counted once. However, a situation where the evaluation value is repeated several times differs from one where the value appears only once. Multiset hesitant fuzzy sets (MHFSs) can deal effectively with a case where some values are repeated more than once in an HFS. In this paper, the new comparison method and corresponding distance of multiset hesitant fuzzy elements …