Philosophy of Fuzzy Logic as Fundamental of Decision Making Based On Rule

Abstract

The logic of talking about rules of thought so that these rules can draw correct conclusions, but in reality in everyday life many things are found that cannot be stated that something is absolutely true or absolutely false. This study aims to explain that the philosophy of fuzzy logic is the basis for decision making based on IF-THEN rules. Related to the role of philosophy of science as the basis for the development of fuzzy logic, it cannot be separated from ontology, epistemology and axiology. The findings of this study are Ontology covering decision making and rules for decision making. Decision making is an election based on certain criteria for two or more possible alternatives while decision making rules are fuzzy rules in the form of IF-THEN. While epistemology of fuzzy logic is related to how the process to get output, how are the stages to take decisions. The process of getting output consists of fuzzification and inference. The output obtained by the Z ∗ value of 38541.67 and the rule-based fuzzy logic axiology in giving restaurant waiter tips is useful to be able to determine the total cash of tips that will be given to the restaurant waiter. The total cash of appropriate tips given based on service and food to the restaurant waiter is Rp.38.541.

Tsukamoto Fuzzy Inference System on Internet of Things-Based for Room Temperature and Humidity Control

“…Each rule is supported by the same monotonous logic used by FIS Tsukamoto [21]. A fuzzy set with monotonous membership functions should be used to describe any result of the IF-THEN rule [22]. Based on the predicate, the output of the inference result of each rule is explicit (Crisp) [23].…”

“…At the inference system level, fuzzy rules based on the fuzzy set theory and fuzzy rules in the form of IF-THEN statements are both used to draw conclusions [22] [28]. Zadeh divides into three basic operators, namely AND, OR, and NOT [29].…”

Optimasi Pengendalian Suhu dan Kelembapan Ruangan di Kota Yogyakarta Menggunakan Metode Fuzzy

“…Aturan fuzzy atau aturan berdasarkan teori himpunan fuzzy, serta aturan fuzzy berupa pernyataan IF-THEN, digunakan pada tahap sistem inferensi untuk mendapatkan inferensi [35]. Zadeh membagi menjadi tiga operator dasar, yaitu AND, OR, dan NOT [36].…”

Klasifikasi Data Tidak Lengkap Dengan Pendekatan Fuzzy Grid Partition

“…Model klasifikasi data tidak lengkap dapat direpresentasikan dalam bentuk aturan fuzzy (aturan If-then). Aturan fuzzy akan memetakan ruang input kedalam ruang keluaran sehingga menghasilkan keluaran fuzzy (Marbun et al, 2019). Aturan fuzzy if-then dapat dibangkitkan melalui pelatihan, antara lain: Liu et al (2013), dengan pendekatan an axiomatic fuzzy sets decision tree.…”