Results 81 to 90 of about 43,437 (249)

Fuzzy number Intuitionistic fuzzy soft sets and its properties

Journal of Fuzzy Set Valued Analysis, 2016
In this paper, we have defined the notion of the fuzzy number intuitionistic fuzzy soft sets. For it, different operations such as union, intersection, complement, max, min, AND and OR have been introduced on fuzzy number intuitionistic fuzzy soft sets environment. Some examples of these operations are given and a few properties are also studied.
Harish Garg, Nikunj Agarwal, Alka Tripathi   +2 more
openaire   +1 more source

An integrated spatiotemporal trust and consensus fusion framework for dam safety assessment with multi‐sensor anomaly detection

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 29, Page 5625-5648, 9 December 2025.
Abstract Multiple sensors are strategically deployed within concrete dams to monitor structural behavior under intricate environmental conditions. The diverse monitoring parameters, spatial configurations, and temporal variations across these sensors often engender performance conflicts.
Xiaosong Shu, HaiBo Yang, Fan Wu, Yuhang Zhou, Peng Xu, Xinyi Liu, Jinjun Guo, Yingchun Cai, Jinyu Fan   +8 more
wiley   +1 more source

Robust decision making using intuitionistic fuzzy numbers [PDF]

Granular Computing, 2016
Robustness is defined as a system’s ability to withstand under disturbances. In real-life applications, where problem parameters are often uncertain, incorporating robustness in decision making is important. In this study, we propose a robust decision making (RDM) approach using intuitionistic trapezoidal fuzzy number (ITrFN).
Sujit Das, Samarjit Kar, Tandra Pal
openaire   +1 more source

A Heterogeneous Multiattribute Group Decision-Making Method Based on Intuitionistic Triangular Fuzzy Information

Complexity, 2019
How to aggregate decision information in heterogeneous multiattribute group decision making (HMAGDM) is vital. The aim of this paper is to develop an approach to aggregating decision data into intuitionistic triangular fuzzy numbers (ITFNs) for ...
Jun Xu, Jiu-Ying Dong, Shu-Ping Wan, De-Yan Yang, Yi-Feng Zeng   +4 more
doaj   +1 more source

q‐Fractional Hesitant Fuzzy Multicriteria Decision‐Making Approaches for Uncertain Power System Performance Evaluation

Energy Science &Engineering, Volume 13, Issue 11, Page 5311-5337, November 2025.
Evaluating power system performance based on a q‐fractional hesitant fuzzy model. ABSTRACT This study introduces novel q‐fractional hesitant fuzzy multicriteria decision‐making (MCDM) approaches aimed at optimizing power system performance under uncertain and imprecise conditions. We extend hesitant fuzzy set theory by formulating q‐fractional hesitant
Zanyar A. Ameen, Hariwan Fadhil M. Salih, Wafa Alagal, Baravan A. Asaad   +3 more
wiley   +1 more source

An intuitionistic fuzzy differential equation approach for the lake water and sediment phosphorus model

Healthcare Analytics
Intuitionistic fuzzy sets cannot consider the degree of indeterminacy (i.e., the degree of hesitation). This study presents an intuitionistic fuzzy differential equation approach for the lake water and sediment phosphorus model.
Ashish Acharya, Sanjoy Mahato, Nikhilesh Sil, Animesh Mahata, Supriya Mukherjee, Sanat Kumar Mahato, Banamali Roy   +6 more
doaj   +1 more source

A Hybrid AI and Fuzzy MCDM Approach for Retailer Evaluation: Leveraging Sentiment Analysis and Expert Insights

Applied AI Letters, Volume 6, Issue 3, October 2025.
This study proposes an AI‐enhanced decision‐making framework that integrates sentiment analysis of customer reviews with q‐rung orthopair fuzzy MCDM to evaluate retailer performance. By analyzing 8,000 reviews from major U.S. retailers, the model bridges unstructured feedback and structured evaluation, offering actionable insights into service ...
Adem Pinar
wiley   +1 more source

Intuitionistic Fuzzy Prioritized Aggregation Operators Based on Priority Degrees with Application to Multicriteria Decision-Making

Journal of Function Spaces, 2022
In practise, intuitionistic fuzzy numbers (IFNs) are particularly useful for describing ambiguous data. We look at multicriteria decision-making (MCDM) problems with a prioritising relationship between the parameters.
Ahmad N. Al-Kenani, Rukhshanda Anjum, Sahidul Islam   +2 more
doaj   +1 more source

Approximate‐Guided Representation Learning in Vision Transformer

CAAI Transactions on Intelligence Technology, Volume 10, Issue 5, Page 1459-1477, October 2025.
ABSTRACT In recent years, the transformer model has demonstrated excellent performance in computer vision (CV) applications. The key lies in its guided representation attention mechanism, which uses dot‐product to depict complex feature relationships, and comprehensively understands the context semantics to obtain feature weights.
Kaili Wang, Xinwei Sun, Huijie He, Fenhua Bai, Tao Shen   +4 more
wiley   +1 more source

Computer-Aided Discovery and Categorisation of Personality Axioms [PDF]

, 2014
We propose a computer-algebraic, order-theoretic framework based on intuitionistic logic for the computer-aided discovery of personality axioms from personality-test data and their mathematical categorisation into formal personality theories in the ...
Kramer, Simon
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