Application of MBJ - Neutrosophic Set on Filters of Incline Algebra

Surya; P.

doi:https://doi.org/10.54216/IJNS.190104

American Journal of Business and Operations Research | 2022

Forecasting crude oil prices based on machine learning statistics methods and random sparse Bayesian learning

Oil price forecasting has received a great deal of interest from both professionals and scholars because of the unique characteristics of the oil price and its enormous impact on a wide range of economic sectors. In response to this problem, the authors set out to develop a strong model for accurately predicting the Brent crude oil price. We employed the Linear Regression and Random Forest models to examine the market interrelationships present in the oil price time series. Next, the models are given weights such that the experimental time series can be accurately predicted. These errors are quantified in terms of root mean squared errors (RMSE), average errors (MAE), and average percentage errors (MAPE). Results and forecast accuracy of the model as compared to the other model. To maximize their output and order levels and reduce the negative impact of potential shocks, countries that produce and import crude oil benefit greatly from accurate crude oil price forecasts.

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Irina V. Pustokhin mail -

Denis A. Pustokhin mail

link https://doi.org/10.54216/AJBOR.070202

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2022

Modified Flower Pollination Algorithm based Resource Management Model for Clustered IoT Network

Internet of Things (IoT) is a technological innovation that defined interaction and computation of latest period. The objects of Internet of Things would empower by embedded gadgets whose limited sources has to be managed effectively. IoT usually means a network of devices connected through wireless network and interacts through internet. Resource management, particularly energy management, becomes a serious problem while devising IoT gadgets. Numerous researchers stated that routing and clustering were energy effectual solutions for optimum resource management in IoT setting. This study introduces a Modified Flower Pollination Algorithm based Resource Management (MFPA-RMM) model for Clustered IoT Environment. The presented MFPA-RMM model majorly focuses on the clustering the IoT devices in such a way that the resources are proficiently managed. The MFPA-RMM model is derived based on the fuzzy c-means (FCM) with FPA. The FPA approach is called heuristic algorithm has benefits of global optimization and faster convergence, therefore it was incorporated to FCM system for resolving the advantages and disadvantages of FCM method termed FCM-FPA mechanism. The result analysis of the MFPA-RMM model reported the enhanced performance of the MFPA-RMM model over other well-known techniques like LEACH and TEEN.

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Tarek Gaber mail -

Chin-Shiuh Shieh mail -

Yuh-Chung Lin mail -

Fatma Masmoudi mail

link https://doi.org/10.54216/IJWAC.040205

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2022

General ChatBot for Medical Applications

Applications for chat bots (and voice bots) are being used more frequently in customer care or e-commerce as a direct line of communication between businesses and customers.  A software programm known as a "bot" executes automated, repetitive, and pre-defined tasks.  For people, it would be nearly impossible to respond to every single client question.  The benefit of employing the notion of a bot is that it eliminates the laborious process of manually responding to customer requests. A bot handles everything automatically.  Artificial intelligence is a concept that chatbots employ to communicate with people.  It has security features like the ability to deactivate accounts that are sending unsolicited messages.  We introduce the bot framework in this paper.  Bot is a runtime engine that launches the chatbot programme automatically. and controls security.  Bot is freely accessible and open source online.

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M. Prakash mail -

M.Sumithra mail -

B. Buvaneswari mail

link https://doi.org/10.54216/JCHCI.040101

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2022

Food Ordering Systems' Newness

The justification for the Web-based Food Requesting System is to repurpose the ongoing conventional structure with the aid of digital resources and unquestionable PC frameworks, accomplishing their fundamentals so their vital data and information can be effectively managed for an extended timeframe with concise admittance to and control of something almost identical. The typical programming and equipment are fairly accessible and simple to deal with. The Web-based Food Requesting Structure, as illustrated above, might generate a genuinely free, confidential, robust, and rapid organisational technique. It may help the customer focus on their complex projects rather than just the bookkeeping. Moreover, it will support the partnership with improved resource utilisation. The association may remain conscious of mechanised records without unnecessary portions. That says that one need not be connected with information that isn't important while having the option to show up at the data. The point is to streamline and automate its ongoing conventional architecture with the assistance of digital kinds of stuff as well as certain PC programming, satisfying their prerequisites so their significant data or information can be taken care of for a more extensive duration with the streamlined overseeing of something practically the same. Basically, the attempt demonstrates how to supervise for superior execution and greater client organisation.

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R. Venkatesan mail -

M. Sumithra mail -

B. Buvaneswari mail -

R. Selvalingeshwaran mail

link https://doi.org/10.54216/JCHCI.040102

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2022

Online Cafeteria E

This is probably one of the most frequent difficulties that a middle-class family experience. As a consequence, ONLINE CAFETERIA E is an online marketplace where individuals can purchase goods at a reduced cost and also save money. Our online shoppers may purchase fresh, high-quality organic foods directly from us. We offer complimentary delivery and accept a range of payment methods. Our major purpose is to supply long-term and fast-delivery products to our consumers. Because of the various perks and benefits, a significant number of individuals are increasingly preferring online shopping over conventional shopping. In recent history, the buyer's decision-making process has evolved dramatically. Before interacting with a salesperson, purchasers undertake comprehensive internet research. Buyers are rapidly making more direct online purchases and via their cell phones, rather than visiting conventional cinder block shops. Doing business has never been simpler or quicker than it is today, owing to the internet. It has prompted a shift in how people do business, with a fast-expanding worldwide trend toward online buying, or ecommerce.

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M. Ashok Kumar mail -

M. Sumithra mail -

B. Buvaneswari mail -

R. Selvalingeshwaran mail

link https://doi.org/10.54216/JCHCI.040103

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Fusion: Practice and Applications | 2022

Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique for Data Fusion Fog-Cloud Computing Platforms

The recent wide acceptance of cloud and virtualization technologies has made a number of Internet of Things (IoT) applications practical. Although these technologies are typically useful, they may introduce a high transmission latency in IoT environments, e.g., data fusion in smart cities. To address this issue, fog computing, a distributed decentralized computing layer between IoT hardware and the cloud layer, can be used. To facilitate the use of fog computing in IoT data fusion environments, this paper proposes a new Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique (HPSOFF-RPT) model for fog-cloud computing platforms. The HPSOFF-RPT model is designed to optimize resource allocation and distribution in IoT environments. The model uses the  PSO and FF algorithms to provision resources in the fog-cloud environment. To evaluate performance, a wide-ranging simulation analysis is performed. The simulation results show that the proposed model improves performance compared to the existing optimization algorithms.

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Joseph B. Awotunde mail -

Hrudaya K. Tripathy mail -

Anjan Bandyopadhyay mail

link https://doi.org/10.54216/FPA.080203

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2022

Neutrosophic Discrete Facility Location Problems

Discrete facility location problems are classified as types of facility location problems, wherein decisions on choosing facilities in specific locations are made to serve the demand points of customers, thus minimizing the total cost. The covering- and median-based problems are the common classified types of discrete facility location problems, which both comprise different classes of discrete problems as reviewed in this research. However, the discrete facility location problems shown in deterministic and known information and data under uncertain, vague, and ambiguous environments have usually been solved using intuitionistic fuzzy approaches. Neutrosophic is recently applied to tackle the uncertainty and ambiguity of information and data. This paper considered solving the discrete facility location problems under the neutrosophic environment, wherein the information of the locations, distances, times, and costs is uncertain. The mathematical models for the main types of neutrosophic discrete facility location problems, which remain unclear till now despite previous related works, are formulated in this study. Numerical examples demonstrated testing of the neutrosophic discrete models and comparison with the optimization solutions obtained from the normal situations. 

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Hajem Ati Daham mail

link https://doi.org/10.54216/IJNS.190102

Volume & Issue

Vol. Volume 19 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2022

Time Q-Neutrosophic Soft Expert Set

This paper is a combination of time neutrosophic soft sets and Q- neutrosophic soft expert sets. We define the general concept of time Q-neutrosophic soft expert sets and study its properties. Some operations such as complement, union, and intersection are explored. Then a hypothetical application of this concept in the decision-making problem is given.

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Sumyyah Al-Hijjawi mail -

Abd Ghafur Ahmad mail -

Shawkat Alkhazaleh mail

link https://doi.org/10.54216/IJNS.190101

Volume & Issue

Vol. Volume 19 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2022

Review of Generalized Neutrosophic Soft Set in Solving Multiple Expert Decision Making Problems

To manage issues with incompleteness, indeterminacy, and awareness of inconsistent information, Maji presented the idea of a neutrosophic soft set by merging the ideas of a neutrosophic set and a soft set. The generalized neutrosophic soft set (GNSS) is an extension of this idea, which has now been developed further. At the beginning of this paper, we describe the definition of a generalized neutrosophic soft set. Then, we focus on the concepts of GNSS operations, such as AND, OR, complement, intersection, and union, and provide illustrated examples to describe a number of associated properties. Finally, a description of an algorithm and an application that uses GNSS to address challenges that arise when making decisions that need the experience of more than one specialist is offered here.

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Sonali Priyadarsini mail -

Ajay V. Singh mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.190103

Volume & Issue

Vol. Volume 19 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2022

Application of MBJ - Neutrosophic Set on Filters of Incline Algebra

The concept of fuzzy set has been generalized to many kinds and one among them is neutrosophic set which is a developed from intuitionistic fuzzy set by adding a components called indeterminate function between truth and falsity membership function. This neutrosophic set also moved a step forward and shows a variation in indeterminate function alone as an interval valued indeterminate function and other functions remains same and this is named as MBJ - neutrosophic set. Here, this work on the MBJ - neutrosophic set merged with incline algbera and introduces the idea of MBJ - neutrosophic filter of an incline algebraic structure and is engrossing with several results. Also, the level, cartesian product, projection, characteristic function and chain conditions are also disputed.

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Surya M. mail -

P. Muralikrishna mail

link https://doi.org/10.54216/IJNS.190104

Volume & Issue

Vol. Volume 19 / Iss. Issue 1

Details open_in_new