Fuzzy logic, in contrast, allows intermediate values, making it suitable for representing linguistic information and expert knowledge. In traditional bivalent logic, any statement is either true or false, without a possibility in between. Zimmermann, recipient of the prestigious IEEE Fuzzy Systems Pioneer Award, we apply Fuzzy Logic for solving the fundamental challenge of deriving correct decisions from imprecise or uncertain input. It is therefore not applicable to this terrestrial life but only to an imagined celestial existence.” īuilding upon the scientific work of our company's founder H.J. “All traditional logic habitually assumes that precise symbols are being employed. Predictive models make use of these patterns to classify events and make forecasts about volumes, times and durations, thus providing improved input for the decision models. Machine learning techniques are used to automatically discover new knowledge by mining large data sets for patterns.mathematical optimization) can explore many millions of alternative decision options extremely fast, hence producing truly optimized results. constraint programming) together with OR algorithms (e.g. Expert knowledge about business processes and behavioral patterns as well as planning objectives and constraints is cast into digital decision models.
#Inform it software
By combining techniques from these areas in a hybrid approach, our software systems can perform core functions traditionally associated with human intelligence: decision making and learning. We build upon a long history of expertise in many areas of AI, from general problem solving and decision making over knowledge representation, automated reasoning and deductive intelligence to machine learning and intelligent control of autonomous systems.
Industry sectors and business processes include Aviation, Automotive, Banking & Insurance, Fraud Prevention & AML, IBP, Inventory & Supply Chain, Logistics, Manufacturing, Materials Handling, Production, Transportation, Workforce Management, and more. Industry Experience – Our more than 1,000 business analysts, data scientists and software engineers proudly support turn-key solutions for more than 1,000 current customers in over 40 countries. Agile Optimization is particularly valuable where complex operations face many ad-hoc changes, volatility, disruptions, unpredictability, and time pressure. Leveraging computer algorithms with human expertise yields results significantly superior to both, traditional management and purely data driven algorithms.Īgile Optimization – Digital Decision Making empowers a new management strategy based on smart, rapid, and interactive decision making. Hybrid AI – INFORM technology integrates Operations Research and Artificial Intelligence, including Fuzzy Logic and Machine Learning.
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