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Often we have to ask “how big is big?”, and fuzzy logic gives a way to incorporate qualitative thresholds into data-driven decisions, to better reflect the messy realities of real-life reasoning in business.
‘Fuzzy thinking’ happens in a wide range of industries, such as in finance to reflect uncertainties about interest rates and risk, in operations for project management and scheduling, in IT for databases and search engines, and in many types of engineering. In a fuzzy world, fuzzy thinking means clear thinking.
Anexact aims to offer a flexible and intuitive software platform that integrates seamlessly with firms’ existing IT infrastructure, capturing valuable information on ambiguity that current systems just throw away. The computer can handle the boilerplate, while ambiguous cases can be left to humans.
Like a game of telephone, estimates often get worse as they travel across layers of management, as layers of nuance get stripped away. Fuzzy systems make it easier to include subjective knowledge such as expert knowledge or consumer survey results, alongside more objective numerical measurements.
With typical coding methods, expert insights are encrypted into algorithms that only programmers can understand. Expert systems reduce barriers between coders and experts by allowing human-readable code.
Uncertainty is not a flaw, but reflects the fuzzy world we live in. We should learn from uncertainty rather than cover it up. Therefore, Anexact provides not just a software, but a new way to think about knowledge in organizations, allowing better communication, more informed decisions, and more sharing of expertise.
Anexact’s expert systems encode your firm’s knowledge so that computers can make decisions using the same logic your employees do, saving valuable time for specialists and top managers, and helping out less experienced employees to ensure consistent quality.