merrick cloete | sahithi jadav. this presentation fuzzy applications adaptive pricing edm plug flow...
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![Page 1: Merrick cloete | sahithi jadav. this presentation fuzzy applications adaptive pricing EDM plug flow reactor summary](https://reader036.vdocuments.net/reader036/viewer/2022062315/5697bf781a28abf838c81d5f/html5/thumbnails/1.jpg)
fuzzy applicationsmerrick cloete | sahithi jadav
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this presentation
fuzzy applications
adaptive pricing
EDM
plug flow reactor
summary
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adaptive pricing aims to dynamically change the price of a productit aims to adapt to market trends:
demand fluctuationsProduct variability
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adaptive pricingneed to ensure products are adequately priced, not too expensive or cheap
adaptations need to avoid exploitation vulnerabilities, undesired product drops below profitable value at which point it is bought in bulk
avoid price hike loops whereby certain products reach unreasonably high prices
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benefits
works well with slow to purchase products – things that don’t have a constant stream
of purchase order or don’t suit a bid system
handles large numbers of factors well without overly complex rules
Minimal data require compared to machine learning, defined by
developer – understand consumer base better
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implementationProduct
Popularity
Shop Performance
User Recency
Market Penetration
Category Popularity
Time of week Performance
User Purchase Pate
Fuzzy Rule Set
discount
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fuzzy inputsexplanation of inputs:
Product Popularity
Category Popularity
Shop Performance
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fuzzy inputs cont.explanation of inputs:
Time of Week Performance
User Recency
User Purchase Rate
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fuzzy inputs and outputexplanation of inputs and output:
Market Penetration
Discount
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rule set
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Fuzzy control system
-Fuzzy logic controllers in proportional integral and deferential forms
-Fuzzy logic control closed system
-Illustration
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Control closed loop:- Handling imprecision and nonlinearity in complex
systems- Input & output variables are normalized
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Logic Controllers in PI’s
-Two input variables, the error and the change of error
-Two input output FLC is derived from input variables and output variables.
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PD like Fuzzy controller
-PD controller can be derived from Max-product inference technique
-Change in control variable according to the time plays a vital role
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Plug flow tubular reactor:
-A simple exothermic kinetics takes place from A->B
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-Seven fuzzy sets are derived for each variable e(t),ce(t),cu(t)
-Reduction in the coolant temperature decreases the output concentration, and inversely, the reasoning for
the construction of the fuzzy control rules.
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PERFORMANCE ANALYSIS
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Fuzzy reasoning in EDM
• EDM (electrical discharge machining) is a very complicated and stochastic process.
• Fuzzy reasoning system is used as classifier, sparks and arcs
• Electrical impedance is calculated using fuzzy sets.
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EDM
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summaryAdaptive Pricing
Plug Flow Reactor
EDM
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referencesAdaptive Pricing with Fuzzy Logic http://blog.fuzzy.io/2015/03/25/adaptive-pricing-with-fuzzy-logic/
A CASE STUDY: A FUZZY CONTROL SYSTEM Chapter 15.4http://www.inf.ufpr.br/aurora/disciplinas/topicosia2/livros/search/FR.pdf
A Fuzzy Neural Control Systemhttp://onlinepresent.org/proceedings/vol31_2013/20.pdf
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fuzzy applicationsmerrick cloete |sahithi jadav