A Modified Neuro-Fuzzy System Using Metaheuristic Approaches for Data Classification

The impact of innovated Neuro-Fuzzy System (NFS) has emerged as a dominant technique for addressing various difficult research problems in business. ANFIS (Adaptive Neuro-Fuzzy Inference system) is an efficient combination of ANN and fuzzy logic for modeling highly non-linear, complex and dynamic systems. It has been proved that, with proper number of rules, an ANFIS system is able to approximate every plant. Even though it has been widely used, ANFIS has a major drawback of computational complexities. The number of rules and its tunable parameters increase exponentially when the numbers of inputs are large. Moreover, the standard learning process of ANFIS involves gradient based learning which has prone to fall in local minima. Many researchers have used meta-heuristic algorithms to tune parameters of ANFIS. This study will modify ANFIS architecture to reduce its complexity and improve the accuracy of classification problems. The experiments are carried out by trying different types and shapes of membership functions and meta-heuristics Artificial Bee Colony (ABC) algorithm with ANFIS and the training error results are measured for each combination. The results showed that modified ANFIS combined with ABC method provides better training error results than common ANFIS model

Filosofi, Teori dan Implementasi N-Soft Sets pada Data Mining

Pengambilan keputusan merupakan proses yang penting dalam kehidupan individu atau kelompok. N-soft set merupakan inovasi dalam teori pengambilan keputusan khususnya dalam mengatasi masalah ketidakpastian dengan merepresentasikan data dalam berbagai bentuk. Beberapa penelitian telah mengombinasikan N-soft set dengan teori-teori lain namun belum ada penelitian yang menggabungkan N-soft set dengan data mining. Oleh karena itu, Penelitian ini membahas filosofi kolabrasi antara N-soft set dan data mining serta pendekatan yang diperlukan untuk mengimplementasikan N-soft set dalam metode data mining. N-soft set dapat diaplikasikan untuk memodelkan ketidakpastian dan ambiguitas dalam data dan data mining dapat mengidentifikasi pola dan tren. Metode pencarian pola dalam data mining seperti Association Rule Mining, Clustering, dan Classification juga dapat menggunakan representasi N-soft set. Hal ini memungkinkan identifikasi pola yang relevan dan hubungan yang ada dalam data dengan mempertimbangkan tingkat keanggotaan objek dalam kelas-kelas yang relevan. Penggabungan N-soft set dengan data mining dapat menghasilkan pemodelan yang lebih representatif sesuai kebutuhan pengguna dengan mempertimbangkan lebih banyak faktor dalam pengambilan keputusan. Hal ini disebabkan pola data yang digali telah memiliki tanda atau pengenal sehingga memudahkan untuk mengidentifikasi faktor atau fitur. Penggunaan N-soft set pada data mining diharapkan dapat memberikan wawasan baru dalam pengambilan berbagai jenis keputusan dengan mempertimbangkan ketidakpastian, ambiguitas, dan kompleksitas data

An optimized electronic government services adoption model using structural equation and maximum attribute relative models

Electronic Government (e-gov) and its adoption plays an important role in assisting countries to provide their citizen with various services. However, the literature has shown that the adoption of current e-government services adoption model does not properly precise in fulfilling the user's desires, particularly in developing countries. This is due to the fact that the key factors of the current models are not suitable and properly determined. Specifically, current adoption models have too many factors, thus resulting to difficulties to work on important factors especially when constraints are imposed. In this research, Structural Equation Model (SEM) was used to analyze the effectiveness of recent models. SEM was selected because it allows researchers to test the relationship between complex variables are either recursive or nonrecursive to obtain a thorough overview of the whole model. From the analysis, an optimized model is proposed. Then, Maximum Attribute Relative (MAR) is implemented to determine the most important factors of e-government adoption model. MAR has been chosen because it has the capability to solve the uncertainty information of the respondents’ respond. The proposed model has been tested and passed the t-test and p-value approach where the value of Behavior Intention to User Behavior are 5.584 and 0.000; value of Facilitating Condition to User Behavior are 3.535 and 0.000; value of Information Quality to Performance Expectancy are 2.714 and 0.007; value of Performance Expectancy to Behavior Intention are 6.171 and 0.000; value of System Quality to Performance Expectancy are 2.895 and 0.004; and finally, value of Trust to Behavior Intention are 5.422 and 0.000. The fit test and indices for the model proposed were proven fit enough, where Standardized Root Mean Square Residual (SRMR) was 0.063 that indicated a good fit of the model, and Normed Fit Index (NFI) was 0.778, showing the marginal fit of the model. Meanwhile, computational model analysis using MAR to support the procession of the proposed model showed that Facilitating Condition (FC) has a value of 43. This portrays that the FC variable is the highest in influencing the people to use e-government, followed by Performance Expectancy and Information Quality that resulting in the value of both 35. The findings confirmed the significance of information quality, system quality and trust perceived by the citizens in adopting e-government services, and provide insights into whether an optimization model and computational model using MAR based on the soft set theory should be integrated to explain citizens’ intention to use e-government. Additionally, the optimized model offers the stakeholders a new perspective for dealing with e-government adoption by signifying the importance of support quality perceived by citizens

An extended Interval Type-2 Fuzzy VIKOR technique with equitable linguistic scales and Z-Numbers for solving water security problems in Malaysia

Interval Type-2 Fuzzy VIseKriterijumska Optimizacija I Kompromisno Resenje (IT2FVIKOR) technique is one of the techniques of Interval Type-2 Fuzzy Multi-Criteria Decision Making (IT2FMCDM), which was developed to solve problems involving conflicting and multiple objectives. Most of the IT2FVIKOR methods are created from linguistic variables based on Interval Type-2 Fuzzy Set (IT2FS) and its generalization, such as Interval Type-2 Fuzzy Numbers (IT2FNs). Recent literature suggests that equitable linguistic scales can offer a better alternative, particularly when IT2FSs have some limitations in handling uncertainty and imbalance. This paper proposes the extended IT2FVIKOR with an equitable linguistic scale and Z-Numbers, where its linguistic scale introduces an equitable balance of positive and negative scales added to the restriction and reliability approach. Different from the typical IT2FVIKOR, which directly utilizes IT2FNs with a positive membership, the proposed method introduces positive and negative membership where each side considers a restriction and reliability approach. Besides, this paper also offers objective weights using fuzzy entropy-based IT2FS to calculate the weights of the extended IT2FVIKOR. The obtained solutions would help decision makers (DMs) identify the best solution to enhance water security projects in terms of finding the best strategies for water supply security in Malaysia

Trends in Science and Technology for Sustainable Living

Dalam buku ini, dibahas mengenai perkembangan tren kajian dalam sains dan teknologi yang mendukung pembangunan berkelanjutan untuk mewujudkan kehidupan berkelanjutan. Pembangunan berkelanjutan mempunyai prinsip pembangunan yang bertujuan memenuhi kebutuhan generasi saat ini tetapi tidak mengurangi ataupun mengorbankan kemampuan generasi selanjutnya dalam memenuhi kebutuhan mereka; sehingga kehidupan yang baik akan terus berlanjut dalam waktu yang lama. Pembangunan berkelanjutan saat ini berfokus pada tiga hal, yaitu pembangunan keberlanjutan ekonomi dan sosial, serta perlindungan terhadap lingkungan untuk generasi mendatang. Ketiganya saling berhubungan dan mendukung dalam mencapai tujuan pembangunan serta stabilitas lingkungan dan sosial. Oleh karena itu, keseimbangan yang baik dalam aspek lingkungan,ekonomi, dan sosial harus dicapai untuk membentuk kehidupan berkelanjutan