Results 81 to 90 of about 44,266 (240)
Energy Science &Engineering, EarlyView.This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa +3 more
wiley +1 more source
Adaptive Display White Point Under Various Ambient Conditions. Part 2: Dual Illumination
Journal of the Society for Information Display, EarlyView.This study was designed to investigate how an adaptive display white point should be adjusted under different foreground‐background illumination conditions. It was found that the background illumination had a more significant effect. ABSTRACT Adaptive displays are designed to enhance the user viewing experience by dynamically responding to ambient ...
Jiamin Guo +3 more
wiley +1 more source
Multiple Criteria Decision Making: Method Selection And Application To Three Contrasting Agricultural Case Studies [PDF]
Agribusiness, farm business and agricultural-environmental decisions which varied in their characteristics were used to evaluate multiple criteria decision making (MCDM) in an agricultural context.
Dooley, A.E. +2 more
core +1 more source
Management of Melana watershed using multicriteria decision making approaches [PDF]
, 2007 Nowadays, watershed management is very important and need to be given attention especially by government agencies because all resources between it are related. This project proposed using Multicriteria Decision Making Approach (MCDM) to identify and rank
Yaccob, Ahmad Amzari
core
The Role of Knowledge‐Based Resources in Leveraging Business Analytics
Knowledge and Process Management, EarlyView.ABSTRACT Business analytics enhances managerial decision‐making. To this end, previous research guides firms to combine their tangible business analytics resources, such as data and technology, with intangible knowledge‐based business analytics resources to enable that business analytics supports decision‐making.
Johanna Orjatsalo +2 more
wiley +1 more source
Contractors Perspective on the Selection of Innovative Sustainable Technologies for Achieving Zero Carbon Retail Buildings [PDF]
, 2014 The use of innovative sustainable technologies (IST) has been regarded as an effective approach to enhancing energy efficiency and reducing carbon emissions of buildings. However, contractors face significant challenges in the selection of IST.
Fuertes, A +3 more
core +1 more source
Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model
Packaging Technology and Science, EarlyView.A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas +3 more
wiley +1 more source
Study on Performance Appraisal Method of Vocational Education Teachers using PROMETHEE II [PDF]
, 2011 Evaluating vocational education teachers’ performance is an important link of teaching management and an important guarantee of improving teaching quality.
Jati, Handaru
core
Sustainable Development, EarlyView.ABSTRACT The discourse on Environmental, Social, and Governance (ESG) strategies is growing, yet its ability to meaningfully advance health and social wellbeing (H&SW) in line with United Nations Sustainable Development Goal (SDG 3) remains under‐examined. Existing studies assume that ESG automatically strengthens SDG 3 outcomes, yet how the Governance
Arjun Chaudhuri +2 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella +4 more
wiley +1 more source