Fuzzy Logic, A Practical Approach

pdf, 5.3 mb, 306 pages chapter 1. the fuzzyworld apples, oranges, or in between is there life beyond math? vague is better discovering fuzziness the uses of fuzzy logic fuzzy control systems other commercial fuzzy systems the value of fuzzy systems advantages and disadvantages fuzzy decision-making fuzziness and asian nations fuzzy systems and uncertainty probability and bayesian methods nonprobabilistic methods fuzzy systems and neural networks fuzzy logic a practical approach by f. martin mcneill and ellen thro chapter 2. fuzzy numbers and logic fuzzy numbers meet fuznum calc performing fuzzy arithmetic behind the scenes with fuznum calc fuzzy sets set theory touring unicalc multielement sets union, intersection, and implication difference complement crisp and fuzzy logic rules of inference logical statements as-then and as-do rules�a sneak preview quantifying word-based rules chapter 3. fuzzy systems on the job fuzzy tools fuzzy knowledge builder� for a fuzzy expert system fuzzy decision-maker� fuzzy thought amplifier� fuzzy systems creating a fuzzy control system identify and name fuzzy inputs identify and name fuzzy output create the fuzzy membership functions construct the rule base decide how to execute the actions fuzzy business systems industrial fuzzy systems fuzzy-neuro sewage pumping station fuzzy insulin infusion system for diabetics fuzzy consumer products fuzzy logic a practical approach by f. martin mcneill and ellen thro chapter 4. fuzzy knowledge builder� knowledge builder�s design program organization program file structure

lunar lander lunar lander�s vertical axis lunar lander�s horizontal axis printing your graphics displays personnel detection system naming and defining the dimensions and sets improving the matrix�s operation formatting the knowledge base for an inference engine using a knowledge base in an inference engine chapter 5. designing a fuzzy decision the decision process introducing the fuzzy decision maker� deciding which college to attend naming your goals name your constraints name your alternatives rank the importances of your goals and constraints how well do the alternatives satisfy the goals? regional transportation system goals constraints alternatives importances fuzzy logic a practical approach by f. martin mcneill and ellen thro satisfactions the decision process merging interests the scenario the alternatives the goals the constraints george�s version martha�s version comparing the two versions inside the fuzzy decision maker importances satisfactions the decision chapter 6. fuzzy thought amplifier� for complex situations dynamic complexities in everyday life. origins of cognitive maps crisp cognitive maps fuzzy cognitive maps fuzzy thought amplifier� normal operation �trained� operation simple fuzzy thought amplfiers� stable map oscillation chaos catplant naming and defining the states creating events event values and names adding dynamic graphics running cycles adding bias

running cycles with the added bias fuzzy logic a practical approach by f. martin mcneill and ellen thro adding additional states running the augmented catplant health care system the states the events running the healthcare map cycles importance of the healthcare map training a map to predict the future the scenario the states the events training the map predicting the future how the fuzzy thought amplifier� works definition method incremental method training function concluding thoughts appendix a. fuzzy associative memory (fam) famcalc composing a memory creating a memory how famcalc works step 1 step 2 appendix b. fuzzy sets as hypercube points sets as points using koskocalc interaction op a set and its complement far crisp and near crisp measuring a set�s size interaction of two fuzzy sets fuzzy logic a practical approach by f. martin mcneill and ellen thro distance subsethood appendix c. disk files and descriptions library files dr. fuzzy�s calculators fuzzy knowledge builder� files example knowledge base example inference engines example problems fuzzy decision maker� choosing a college legal problem unemployment financial planning changing residence fuzzy thought amplfier� readme file appendix d. inference engine programs quickbasic simple inference engine quickbasic fast inference engine c language inference engine fuzz-c inference engine motorola 68hc05 assembly simple inference engine

appendix e. other fuzzy architecture flops how flops works badger�an animal guessing game parallel flops state machines crisp state machine fuzzy state machine putting a fuzzy state machine into operation the rules and the inference method download : betah.co.il