Results 121 to 130 of about 9,682 (310)
ABSTRACT Given the critical role that banks play in sustainable development through their financial intermediation and capital allocation functions, assessing their sustainability performance has become an increasingly important research issue.
Özcan Işık +3 more
wiley +1 more source
Monthly rainfall time series prediction using modular fuzzy inference system with nonlinear optimization techniques [PDF]
Accurate rainfall time series prediction is one of the important tasks in hydrological study. A conventional time series model such as autoregressive moving average or an intelligent model such as artificial neural network have been used efficiently to ...
Kajornrit, J.
core +1 more source
When Do CEO Temporal Focus and Board Interlocks Lead to Eco‐Innovation? A Configurational Approach
ABSTRACT In this study, we examine how different corporate governance profiles—combinations of CEOs' temporal focus profiles and board interlocks—shape corporate eco‐innovation. Integrating insights from the upper echelon perspective and the attention‐based view, we argue that board interlocks serve as conduits for new knowledge and capabilities that ...
Paula Villalba‐Ríos, Tine Buyl
wiley +1 more source
"Can the neuro fuzzy model predict stock indexes better than its rivals?" [PDF]
This paper develops a model of a trading system by using neuro fuzzy framework in order to better predict the stock index. Thirty well-known stock indexes are analyzed with the help of the model developed here.
Haider Ali Khan +2 more
core
Rainfall prediction in the northeast region of Thailand using Cooperative Neuro-Fuzzy Technique [PDF]
Accurate rainfall forecasting is a crucial task for reservoir operation and flood prevention because it can provide an extension of lead-time for flow forecasting. This study proposes two rainfall time series prediction models, the Single Fuzzy Inference
Wong, K.W., Fung, C.C., Kajornrit, J.
core +1 more source
Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities. ABSTRACT Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities.
Mohsen Alizadeh Afroozi +4 more
wiley +1 more source
Fuzzy rule interpolation and extrapolation techniques: Criteria and evaluation guidelines [PDF]
This paper comprehensively analyzes Fuzzy Rule Interpolation and extrapolation Techniques (FRITs). Because extrapolation techniques are usually extensions of fuzzy rule interpolation, we treat them both as approximation techniques designed to be applied ...
Wong, K.W. +3 more
core +1 more source
TOPSIS for Multi-expert Decision Making with Incomplete Fuzzy Linguistic Formal Contexts
This paper investigates multi-expert multi-attribute decision making under linguistic uncertainty with incomplete assessments. Building on a linguistic formal context with fuzzy objects, we develop a multi-expert extension to characterize trust-level ...
Ning Kang, Li Zou, Yixiang Chen
doaj +1 more source
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
This study introduces a novel decision-making framework based on interval-valued Fermatean fuzzy linguistic sets, a new theoretical model designed to capture linguistic uncertainty, interval-valued hesitation, and Fermatean membership characteristics ...
Serdar Kuzu +4 more
doaj +1 more source

