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Some Generalized Results on Grey Number Operations Based on Liu-Lin Axioms of Greyness Degree and Information Content

Ozan Çakır | İbrahim Gürler | Bora Gündüzyeli

In this manuscript, with grounding in Liu–Lin axioms of greyness degree and information content, we provide new results that relate to these concepts in consideration of a number of mathematical operations over a sequence of grey numbers. In particular, we derive greyness degree results of summation, conic combination, and convex combination of a sequence, as well as inverse of a number and normalization of a number over a sequence. Then, we turn our attention to prove information content results for the union and intersection of a sequence. We illustrate our results by using a simple Monte Ca ...Daha fazlası

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Consumer Sentiment in Turkey, from Closure to the New Normal

Mustafa İlteriş Yılmaz

Abstract: The main aim of the study was to analyze consumer sentiment in the COVID-19 pandemic period in the context of Turkey. In this context, “expectations of consumers regarding the changes in their current income and general expenditures in the economic conditions brought along with normalization process” and “in what direction consumer sentiment would change in the 6-month period following the normalization process in Turkey” were investigated. Based on these research questions, a descriptive study was conducted by adopting a quantitative research method. The ques- tionnaire method was e ...Daha fazlası

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A Smart and Mechanized Agricultural Application: From Cultivation to Harvest

Metin Zontul

Food needs are increasing day by day, and traditional agricultural methods are not responding efficiently. Moreover, considering other important global challenges such as energy sufficiency and migration crises, the need for sustainable agriculture has become essential. For this, an integrated smart and mechanism-application-based model is proposed in this study. This model consists of three stages. In the first phase (cultivation), the proposed model tried to plant crops in the most optimized way by using an automized algorithmic approach (Sand Cat Swarm Optimization algorithm). In the second ...Daha fazlası

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Perceived organizational support and well-being of tour guides: The mediating effects of quality of work life

Derya Demirdelen Alrawadieh

The reciprocity norm theory suggests that individuals develop a sense of obligation and indebtedness to reciprocate the favorable treatment they receive. Rooted in the notion of reciprocity norm, organizational support is regarded as essential for organizations to maintain long-term relationships with their employees. Despite an established academic discussion on organizational support and its outcomes in behavioral and applied psychology research, a comprehensive understanding of its role in enhancing employees' well-being is surprisingly limited in the field of tourism. Drawing on the organi ...Daha fazlası

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Compression of images with a mathematical approach based on sine and cosine equations and vector quantization (VQ)javascript:;

Cevat Rahebi

Compressing the image causes less memory to be used to store the images. Compressing images increases the transmission speed of compressed images in the network. Vector quantization (VQ) is one of the image compression methods. The challenge of the vector quantization method for compression is the non-optimization of the codebooks. Codebook optimization increases the quality of compressed images and reduces the volume of compressed images. Various methods of swarm intelligence and meta-heuristics are used to improve the vector quantization algorithm, but using meta-heuristic methods based on m ...Daha fazlası

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An Intelligent Anomaly Detection Approach for Accurate and Reliable Weather Forecasting at IoT Edges: A Case Study

Buket İşler

Industrialization and rapid urbanization in almost every country adversely affect many of our environmental values, such as our core ecosystem, regional climate differences and global diversity. The difficulties we encounter as a result of the rapid change we experience cause us to encounter many problems in our daily lives. The background of these problems is rapid digitalization and the lack of sufficient infrastructure to process and analyze very large volumes of data. Inaccurate, incomplete or irrelevant data produced in the IoT detection layer causes weather forecast reports to drift away ...Daha fazlası

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Battery Charge Control in Solar Photovoltaic Systems Based on Fuzzy Logic and Jellyfish Optimization Algorithm

Cevat Rahebi

Abstract The study focuses on the integration of a fuzzy logic-based Maximum Power Point Tracking (MPPT) system, an optimized proportional Integral-based voltage controller, and the Jellyfish Optimization Algorithm into a solar PV battery setup. This integrated approach aims to enhance energy harvesting efficiency under varying environmental conditions. The study’s innovation lies in effectively addressing challenges posed by diverse environmental factors and loads. The utilization of MATLAB 2022a Simulink for modeling and the Jellyfish Optimization Algorithm for PI-controller tuning further s ...Daha fazlası

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Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey

Cevat Rahebi

Abstract: Alzheimer’s is a neurodegenerative disorder affecting the central nervous system and cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition, the affected individual’s cognitive abilities to process and analyze information gradually deteriorate, resulting in mental decline. In recent years, there has been a notable increase in endeavors aimed at identifying Alzheimer’s disease and addressing its progression. Research studies have demonstrated the significant involvement of genetic factors, stress, and nutrition in developing this condition. The u ...Daha fazlası

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Comparative Study for Sentiment Analysis of Financial Tweets with Deep Learning Methods

Cevat Rahebi

Nowadays, Twitter is one of the most popular social networking services. People post messages called “tweets”, which may contain photos, videos, links and text. With the vast amount of interaction on Twitter, due to its popularity, analyzing Twitter data is of increasing importance. Tweets related to finance can be important indicators for decision makers if analyzed and interpreted in relation to stock market. Financial tweets containing keywords from the BIST100 index were collected and the tweets were tagged as “POSITIVE”, “NEGATIVE” and “NEUTRAL”. Binary and multi-class datasets were creat ...Daha fazlası

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Bitterling fsh optimization (BFO) algorith

Cevat Rahebi

The bitterling fsh is a prime example of intelligent behavior in nature for survival. The bitterling fsh uses the oyster spawning strategy as their babysitter. The female bitterling fsh looks for a male fsh stronger than other fsh to fnd the right pair. In order to solve optimization issues, the Bitterling Fish Optimization (BFO) algorithm is modeled in this manuscript based on the mating behavior of these fsh. The bitterling fsh optimization algorithm is more accurate than the gray wolf optimization algorithm, whale optimization algorithm, butterfy optimization algorithm, Harris Hawks optim ...Daha fazlası

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Psychometric Testing of the Newborn Skin Assessment Attitude Scale in Neonatal ICU Nurses

Tülay Ortabağ | Zerrin Çiğdem

OBJECTIVE: To develop a Newborn Skin Assessment Attitude Scale (NSAAS) for neonatal ICU (NICU) RNs.METHODS: The study was conducted with 326 nurses working in NICUs in three cities in Turkey. The researchers evaluated the content and construct validity and reliability of the scale with item-total score correlation analysis, the test-retest method, and calculating the Cronbach alpha reliability coefficient.RESULTS: The content validity index of the scale ranged between 0.87 and 1.00. Prior to exploratory factor analysis and confirmatory factor analysis, the Kaiser-Meyer-Olkin coefficient of the ...Daha fazlası

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Numerıcal Solutıon Of Fractıonal Volterra Integral Equatıons Based On Ratıonal Chebyshev Approxımatıon

Merve Temizer Ersoy

We aim to give the numerical method for solving the fractional Volterra integral equations of first and second kinds. We here use the techniques based upon rational Chebyshev functions and Riemann-Liouville fractional integrals. Some illustrative experiments with a view of estimating error and graphics are given in order to show the validity and applicability of the technique. Our experiments show that the new technique has high accuracy and is very efficient when compare to the other approaches existing in literature.

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