Results 61 to 70 of about 2,839 (217)
FR‐FMEA combines fuzzy logic and rough set theory to address uncertainty and incomplete knowledge in failure analysis. Applied to a gas turbine system, it delivers more reliable and distinct risk rankings, identifying critical components for targeted maintenance and improved reliability.
Ali Aghazadeh Ardebili +2 more
wiley +1 more source
Dynamic multi-attribute decision making model based on triangular intuitionistic fuzzy numbers
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Chen, Y., Li, B.
openaire +1 more source
Intuitionistic fuzzy similarity measures and their role in classification [PDF]
We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs.
Alimi, Adel +2 more
core +1 more source
The Flow chart represents a model for the selection of optimized diagnostic approach for cardio vascular diseases. This novel model follows the concept of computational process incorporated with novel aggregation operators that are more flexible in nature.
M. Ameer +3 more
wiley +1 more source
Breaking barriers toward a net‐zero economy
Abstract Following The Paris Agreement and United Nations Sustainable Development Goals (SDGs), a significant number of nations globally have pledged to achieve net‐zero emissions by 2050. The goal is to lower emissions while emphasizing economically and socially sustainable practices.
Rajan Kumar Gangadhari +2 more
wiley +1 more source
Systematic Mapping of AI‐Based Approaches for Requirements Prioritization
Context and Motivation: Requirements prioritization (RP) is a main concern of requirements engineering (RE). Traditional prioritization techniques, while effective, often involve manual effort and are time‐consuming. In recent years, thanks to the advances in AI‐based techniques and algorithms, several promising alternatives have emerged to optimize ...
María-Isabel Limaylla-Lunarejo +3 more
wiley +1 more source
An analysis is performed for the three-dimensional stagnation point flow of magnetized tangent hyperbolic fluid over a rotating disk of variable thickness.
Priya Bartwal +4 more
doaj +1 more source
Multiobjective transportation problem (MOTP) seeks to optimize multiple, often conflicting objectives within transportation and logistics systems. However, in real‐world scenarios, parameters such as transportation costs, time, availability, and demand are inherently uncertain.
Ritu +8 more
wiley +1 more source
The main objective of this study is to develop a fuzzy‐based approach for building a multistage, multiproduct, and multiperiod supply chain network (SCN) after and before the COVID‐19 pandemic. The proposed model optimizes production and distribution planning under uncertainty in a multiperiod stochastic process network.
Sina Abbasi +5 more
wiley +1 more source
We address information fusion and spatial structure modeling in high-dimensional fuzzy multi-attribute decision-making by proposing a novel framework that couples Triangular Intuitionistic Fuzzy Numbers (TIFNs) with the Plant Growth Simulation Algorithm (
Yanshan Qian +5 more
doaj +1 more source

