What changed from existing technology?
This study introduces a new method to find the best places for solar panels by considering different levels of risk and using advanced math techniques to make the decision more accurate.
The study introduces a novel integration of the Best–Worst Method (BWM) with Fuzzy Ordered Weighted Averaging (Fuzzy OWA) under multiple α-based decision scenarios, allowing for dynamic risk-sensitive site prioritization.
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This is not a success probability or investment opinion. It prioritizes follow-up using evidence available when the paper was published.
Verified evidence · 1
Selecting reliable sites for solar-panel installation remains challenging because most GIS-based multi-criteria decision-making approaches produce a sing
Abstract ↗- 시제품·장치 구현 근거 미확인
- 제조·규모 확장 근거 미확인
- 장기·실사용 검증 근거 미확인
Later patent, company, clinical, and production events are added separately only after verification.
Patent check: Not checked yetCurrent technology stage: Early research
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What still needs to be solved?
Repeated real-world validation, manufacturability, cost, and long-term stability still require follow-up evidence.
What could change if this succeeds?
The framework can be used to identify optimal solar-panel installation sites that account for varying levels of risk acceptance in different climatic regions.
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