‎A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems‎ by Alfredo Cuzzocrea, Enzo Mumolo, Islam Belmerabet, Abderraouf Hafsaoui

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Machine learning techniques and multi-objective programming to select the best suppliers and determine the orders by Asma ul Husna, Saman Hassanzadeh Amin, Ahmad Ghasempoor

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Fixed-Point Results in Neutrosophic Normed Spaces by Nirmal Sarkar, Jayanta Das, Ashoke Das

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Professor John N. Mordeson by Tofigh Allahviranloo

“…Mordeson is a distinguished mathematician and educator who has made significant contributions to the field of fuzzy logic and its applications. He is currently a Professor Emeritus of Mathematics at Creighton University. …”
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A Comprehensive Study of Neutrosophic SuperHyper BCI-Semigroups and their Algebraic Significance by Ajoy Kanti Das, Rajat DAS, Suman Das, Bijoy Krishna Debnath, Carlos Granados, Bimal Shil, Rakhal Das

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MCDM Problem Under Single-Valued Neutrosophic Numbers Based on a Novel Similarity Measure by Madineh Farnam, Majid Darehmiraki

“…Bridging this gap is essential for enhancing decision-making processes across various practical applications. Aggregative operators, ranking methods, distance measures, and similarity measures are among the most essential tools for sorting fuzzy data and their extensions, including Neutrosophic numbers. …”
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Classification with reject option: Distribution-free error guarantees via conformal prediction by Johan Hallberg Szabadváry, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd, Ernst Ahlberg, Lars Carlsson

“…This causes problems in practical applications, as we do not know if we should trust a prediction. …”
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Determination of the Importance Level of Basic Criteria in Building Construction with AHP and FAHP Methods by Serkan Yıldız, Sinan Güneş

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Machine learning and parametrisation of multi-cell structures of secondary circulation in a tight open channel bend using LES by H. Katie Schreiner, Abdolmajid Mohammadian, Colin D. Rennie

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Thermal performance analysis of gas turbine power plant using soft computing techniques: a review by Ravindra S. Surase, Ramakrishna Konijeti, Ramchandra P. Chopade

“…This review emphasizes the application of soft computing approaches in analysing and improving gas turbine thermal performance. …”
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On Generalized Overlap and Grouping Indices in n-Dimensional Contexts by Tiago Asmus, Graçaliz Dimuro, Giancarlo Lucca, Cedric Marco-Detchart, Helida Santos, Heloisa Camargo, Humberto Bustince

“…Since the associative property may not hold, their application in n-dimensional domains, for comparing more than two fuzzy sets at a time, is not immediate, which limit their application in such contexts. …”
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On the ρ-Interpolative Ćirić–Reich–Rus-Type Fixed-Point Theorems by Müzeyyen Sangurlu Sezen, Serap Özcan, Manuel De la Sen, Sina Etemad, Raaid Alubady

“…We presented some of the results established in fuzzy metric spaces to the partially ordered fuzzy metric spaces. …”
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Rancang Bangun Aplikasi Berbasis Android untuk Perbaikan Kualitas Citra Tanaman Atas Perbedaan Spesifikasi Kamera Smartphone pada Prediksi Kandungan Pigmen Fotosintesis Secara Real... by Felix Adrian Tjokro Atmodjo, Kestrilia Rega Prilianti, Hendry Setiawan

“…The destructive approach of evaluating pigment content is expensive and necessitates specialized handling. An Android based application called Fuzzy Piction could predict the content of those pigments nondestructively using the FP3Net, a Convolutional Neural Network (CNN) model. …”
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A New Approach to Studying Net Present Value and the Internal Rate of Return of Engineering Projects under Uncertainty with Three-Dimensional Graphs by Alexander Maravas, John-Paris Pantouvakis

“…However, the inherent uncertainty in the estimation of completion time, final costs, and the realization of benefits often act as an impediment to its application. Since the emergence of fuzzy set theory, there have been significant developments in uncertainty modelling in project evaluation and investment analysis, primarily in the area of formulating a fuzzy version of CBA. …”
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LEVEL SOFT GROUP AND ITS PROPERTIES by Saman Abdurrahman, Mochammad Idris, Faisal Faisal, Na’imah Hijriati, Thresye Thresye, Aprida Siska Lestia

“…In this paper, we present an application of fuzzy subset and fuzzy subgroup to a soft set and a soft group, thereby creating a soft set and a soft group within the same group. …”
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基于支持向量回归机的连杆机构模糊稳健设计 by 任丕顺, 宋辉煌

“…Aiming at the synthesis problem of four bar linkage mechanism for generating function,the analysis of the influence of random disturbing factors on the movement accuracy of mechanism is analyzed,and the model for fuzzy-robust design optimization is presented.The support vector regression（SVR） is used as a surrogate model for computing the values of nonlinear functions such as fuzzy probability,and then the computational efficiency of fuzzy-robust design optimization is distinctly improved.The arithmetic steps of proposed method are introduced.The design example shows that this method is able to make the movement accuracy of mechanism match up to the tolerance of each linkage in reason,so it is effective in engineering application.…”
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MULTICRITERION METHODS OF DECISION-MAKING BY THE MILITARY AUTHORITIES by Alexey N. Zagorka, Anatoliy K. Pavlikovsky, Irina A. Zagorka

“…Requirements are formulated to such methods. The features of application of component criteria are considered, methods of analysis of hierarchies, taxonomy, game and fuzzy sets theories for the choice of method of combat operations of grouping of troops (forces) during development of decision on an operation (battle). …”
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Project risk assessment: A holistic risk identification, analysis and evaluation approach, The case of EPC projects by Mohammad Senisel Bachari, Mahdi Iranfar

“…A three-stage framework is proposed utilizing the Delphi method for risk identification and contextualization of risks, the risk analysis stage employs the Fuzzy Level-Based Weight Assessment (F-LBWA) method to achieve fuzzy weights for risk characteristics which the risks will be evaluated by. …”
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轨迹再现机构的模糊稳健优化设计方法 by 郭惠昕, 张世安, 何哲民, 桂乃磐

“…The problem of the robustness design of path generating mechanism was discussed with fuzzy mathematics method in this paper. Then the principle of fuzzy robust design and the mathematical modeling method were put forward. …”
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Regularity in Vague Intersection Graphs and Vague Line Graphs by Muhammad Akram, Wieslaw A. Dudek, M. Murtaza Yousaf

“…Fuzzy graph theory is commonly used in computer science applications, particularly in database theory, data mining, neural networks, expert systems, cluster analysis, control theory, and image capturing. …”
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