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Why Mathematics Shapes Reality: A Philosophical Inquiry Dethan, Nugraha K. F.; Nelloe, Merlyn Kristine
Jurnal Filsafat "WISDOM" Vol 35, No 2 (2025): (Article in Press)
Publisher : Fakultas Filsafat, Universitas Gadjah Mada Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jf.106411

Abstract

Most discussions in the philosophy of mathematics have been dominated by questions concerning the nature of mathematical entities, such as numbers and sets, while comparatively little attention has been given to the applicability of mathematics. Yet mathematics has played an indispensable role in the development of the natural sciences, suggesting that any complete philosophy of mathematics must account for its remarkable effectiveness in describing the physical world. Two major schools of thought, namely Platonism and Nominalism, have largely neglected this issue and seem unable to provide a satisfactory explanation for the tremendous success of mathematics in the physical sciences. However, this limitation does not apply  universally across all philosophical approaches. This limitation specifically reflects the weakness of Platonism and Nominalism in connecting mathematical entities to empirical reality. In this article, we investigate the philosophy of mathematics from the standpoint of alternative views, particularly Steiner’s Anthropocentric approach and Franklin’s Aristotelian Realism, which offer promising frameworks for understanding the deep connections between mathematics and empirical reality. This preference for alternative approaches is justified by their potential to explain the effectiveness of mathematics as a tool in science, emphasizing its applicability and alignment with scientific contexts. The result of this study indicates that Aristotelian Realism provides a more robust framework for explaining the empirical success of mathematics compared to other approaches. Aristotelian Realism stands out as a superior philosophy of mathematics, centering its applicability as the core of its philosophical understanding.
PENENTUAN METODE DEFUZZIFIKASI TERBAIK FUZZY INFERENCE SYSTEM MAMDANI DALAM DIAGNOSA PRE-EKLAMPSIA PADA IBU HAMIL Teti, Desriyani Yulianita Br. Kolo; Mada, Grandianus Seda; Dethan, Nugraha K. F.; Obe, Leonardus Frengky
JURNAL DIFERENSIAL Vol 6 No 1 (2024): April 2024
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v6i1.12680

Abstract

Pre-eclampsia is the second of the three major causes of death in pregnant women after bleeding followed by infection. Pre-eclampsia is a disorder of unknown etiology specifically in pregnant women. To prevent pre-eclampsia from becoming increasingly severely diagnosed systems that can be used for pre-eclampsia premises syconome. One method that can be used to determine the pre-eclampsia diagnosis is the Fuzzy Inference System (FIS) Mamdani this method is based on the concept of fuzzy logic. The process of determining the final decision by this method has several stages, the application of implications, rules, and defuzzification composition. For defuzzification stages, there are four methods that can be used the method Centroid, Bisector, Mean of Maximum (MOM), Smallest of Maximum (SOM), and Largest of Maximum (LOM). This study aims to determine the diagnosis of pre-eclampsia (pregnancy poisoning) in pregnant women based on FIS Mamdani by previously determining the best FIS Mamdani defuzzification method. In determining the best defuzzification method, the measures Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), Mean Square Error (MSE), and Sum Square Error (SSE) are used. Based on the results of the prediction error comparison, the best defuzzification method to diagnose the pre-eclampsia status in Atambua Hospital is a bisector method with an accuracy of 95,48%.