Results 71 to 80 of about 758 (175)

Population Genetic Structure and Colonisation History of the Widely Distributed Mangrove Avicennia marina Across the Western Indian Ocean

Diversity and Distributions, Volume 32, Issue 2, February 2026.
ABSTRACT Aim Avicennia marina is a widely distributed mangrove species and a major constituent of Indo‐West Pacific mangroves. To understand spatial patterns of genetic diversity in this species, and the role of ocean currents and historical events in shaping these patterns, we examined population genetic structure, maternal phylogeography, and ...
Ludwig Triest, Tim Sierens, Nico Koedam, Dennis De Ryck, Farid Dahdouh‐Guebas, Tom Van der Stocken   +5 more
wiley   +1 more source

Soil‐Borne Pathogens Reflect Agricultural Land‐Use Legacies

Ecology Letters, Volume 29, Issue 2, February 2026.
Legacy effects profoundly shape the distribution and diversity of terrestrial communities, but are difficult to grasp over longer timescales. Here, we use historical land‐use maps to study lingering legacies of historical land use on present‐day microbial communities.
Tord Ranheim Sveen, Ida Junker Madsen, Eva Gustavsson, Sara Cousins, Franz Buegger, Karin Pritsch, Laura Riggi, Janne Bengtsson, Maria Viketoft, Mo Bahram   +9 more
wiley   +1 more source

A Rough Set Approach for Customer Segmentation

Data Science Journal, 2014
Customer segmentation is a process that divides a business's total customers into groups according to their diversity of purchasing behavior and characteristics.
Prabha Dhandayudam, Ilango Krishnamurthi
doaj   +1 more source

Destination categories, channel choice, and beer distribution laws

American Journal of Agricultural Economics, Volume 108, Issue 1, Page 143-175, January 2026.
Abstract Consumers tend to choose the type of store, or grocery channel, on the basis of “destination categories,” or categories that tend to be important attractors relative to others. Whether or not a category is truly important to generating incremental market share, however, is a difficult empirical question, because there has been little exogenous
Anna Malinovskaya, Timothy J. Richards, Bradley Rickard   +2 more
wiley   +1 more source

Predicting High or Low Transfer Efficiency of Photovoltaic Systems Using a Novel Hybrid Methodology Combining Rough Set Theory, Data Envelopment Analysis and Genetic Programming

Energies, 2012
Solar energy has become an important energy source in recent years as it generates less pollution than other energies. A photovoltaic (PV) system, which typically has many components, converts solar energy into electrical energy.
Lee-Ing Tong, Yi-Shian Lee
doaj   +1 more source

Composable Conditions for Constructing Knowledge Structure Based on Variable Precision FT‐Rough Set Model

Journal of Mathematics, Volume 2026, Issue 1, 2026.
Constructing a knowledge structure using the variable precision FT‐rough set model is an effective approach. Because directly constructing a knowledge structure for a subject or field is challenging, synthesizing global information from local information is a viable solution.
Jingjing Yang, Chuanyi Huang, Jinjin Li, Ching-Feng Wen   +3 more
wiley   +1 more source

Identifying Effective Features and Classifiers for Short Term Rainfall Forecast Using Rough Sets Maximum Frequency Weighted Feature Reduction Technique

Journal of Computing and Information Technology, 2016
Precise rainfall forecasting is a common challenge across the globe in meteorological predictions. As rainfall forecasting involves rather complex dynamic parameters, an increasing demand for novel approaches to improve the forecasting accuracy has ...
Sudha Mohankumar, Valarmathi Balasubramanian   +1 more
doaj   +1 more source

CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set

Advanced Intelligent Systems, Volume 7, Issue 12, December 2025.
In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng, Wenjian Liu, Sheng Peng, Yuankun Liu, Wanlei Zhou   +4 more
wiley   +1 more source

Comparing Rough Set Theory with Multiple Regression Analysis as Automated Valuation Methodologies [PDF]

This paper focuses on the problem of applying rough set theory to mass appraisal. This methodology was first introduced by a Polish mathematician, and has been applied recently as an automated valuation methodology by the author.
Maurizio d’Amato
core  

Fuzzy–Rough Analysis of ESG Ratings and Financial and Growth Ratios on the Stock Returns of Blue-Chip Stocks in Taiwan

Mathematics
This study uses fuzzy–rough analysis to investigate the influence of Environmental, Social, and Governance (ESG) ratings, along with critical financial and growth ratios, on the stock returns of blue-chip companies in Taiwan.
Kao-Yi Shen
doaj   +1 more source