1. When we say that the boundary is crisp distinguish two regio collection of ordere none of these cannot distinguis 2. In computing the output is called as outfeed premise consequent anticedents 3. Fuzzy logic is a form of crisp set logic binary set logic two valued logic many value logic 4. Control actions while computing should be ambiguous unambioguos inaccurate none of these 5. Core of soft computing is genetic science fuzzy computing,neu neural science fuzzy network an 6. The intersection of two fuzzy sets is the of each element from two sets maximum equal to not equal to minimum 7. Genetic algorithm belong to the family of method in the complete enumerat optimization area artifical intelligence a non computer based i 8. The process of fuzzy interference system involes if-then rules all the above membership function fuzzy logic operat 9. Which of the folloowing is not defuzzifier method largest of maximum mean of maximu hypotenuse of triangle centroid of area 10. Fuzzy Computing both mimics human behav and deals with inpreci exact information deals with inpreci mimics human behav 11. Hard computing is also called as conventional com non conventional co probablistic computing evolutionary comput 12. Which computing produces accurate results hard computing soft computing both probablistic computing and hard computing None of the options 13. can a crisp set be a fuzzy set? no depends yes All of the options 14. All of the follwing are suitable problem for genetic algorithm EXCEPT pattern recognization simple optimization simulation of biol dynamic process contr 15. Neural network computing mimics human behav None of the options information proce both mimics human behav and information proce 16. Tabu search is an example of ? heuristic evolutionary algo pso aco 17. How does blind search differ from optimization none of these blind search cannot blind search represe blind search usua blind search represe blind search usua blind search cannot none of these 18. Genetic algorithms are example of heuristic aco evolutionary algo pso 19. What does the 0 membership value means in the set None of the options the object is not i the object is partiall the object is fully insi 20. mutation is applied on candidates. one two more than two noneof these 21. recombination is applied on candidates. noneof these more than two one two 22. What does a fuzzifier do coverts fuzzy output to coverts crisp oupu coverts crisp input to coverts fuzzy input 23. LCS belongs to based methods? noneof these genetic learning both rule based learning and genetic learning rule based learning 24. Artificial neural network is used for clustering All of the options classification pattern recognition 25. Evolutionary programming was developef by flin frank fodgel fredrik 26. doesnot usually allow decision makers to see how a solution to a en genetics,complex p simulation ,complex simulation,easy p genetics,easy problem 27. Any soft-computing methodology is characterised by precise solution control actions are unambiguous and accurate control actions is formally defined algorithm which can easily adapt with the change of dynamic environment 28. EC stands for? noneof these evolutionary com evolutionary comput electronic computa 29. decides who becomes parents and how many children the parents have. parent replace parent selection parent combination parent mutation 30. Multiple conjuctives antecedents is method of____in FLC formation of rule All of the options decomposition rule truth tables 31. Basic elements of EA are ? none of these parent selection methods both parent selection methods and survival selection methods survival selection methods 32. in ES survival is none of these both indeterministic and deterministic indeterministic deterministic 33. GA stands for genetic algorithm noneof these genetic asssuranc genese alforithm 34. Evolution Strategies typically uses none of these time based represe real-valued vector re vector representa 35. LCS stands for mnoneof these learned class syste learning classifier learning classes syste 36. What Are The Two Types Of Fuzzy Inference Systems? mihni-type and sujgani-type momfred-type and semigi-type mamdani-type and sugeno-type model-type and system-type 37. GBML stands for genes based mob genese based machi noneof these genetic bsed machi 38. Evolution Strategies is developed with all of these selection a population of size mutation 39. For what purpose Feedback neural networks are primarily used? feature mapping classification none of the mentioned pattern mapping 40. A fuzzy set wherein no membership function has its value equal to 1 is called convex fuzzy set concave fuzzy set normal fuzzy set subnormal fuzzy set. 41. Operations in the neural networks can perform what kind of operations? serial parallel serial or parallel none of the mentioned 42. What is ART in neural networks? artificial resonance theory none of the mentioned adaptive resonance theory automatic resonance theory 43. What is the first step in Evolutionary algorithm termination recombination selection initialization 44. IF x is A and y is B then z=c (c is constant), is rule in first order fis both rule in zero order fis and rule in first order fis neither rule in zero order fis nor rule in first order fis rule in zero order fis 45. Elements of ES are/is parent population siz survival population both parent population siz and survival population none of these 46. In Evolutionary programming, recombination is doesnot use recombination to produce offspring. it only uses mutation none of the mentioned uses various recombination operators uses recombination such as cross over to produce offspring 47. In Evolutionary programming, individuals are represented as binary string individual solution is represented as a finite state machine individuals are represented by real- valued vector none of the mentioned 48. Termination condition for EA all the mentioned population diveristy drops under a given threshold mazimally allowed cpu time is elapsed total number of fitness evaluations reaches a given limit Submit Answers Retake Test More Computer Science Engineering Study Material › Computer Science Engineering Mock Tests with Answers Distributed Computing System Mock Test Software Project Management Mock TestArtificial Intelligence and Robotics Mock TestBasics of Database Management Mock TestC# Programming Mock TestC#.NET Programming Mock TestCloud Computing Mock TestCommunication Network Mock TestComputer Architecture Mock TestComputer Architecture and Organization Mock TestComputer Fundamentals Mock TestComputer Networking Mock TestComputer Networks Mock TestCPP Programming Mock TestData Analysis Mock TestData Communication and Computer Network Mock TestData Compression and Data Retrieval Mock TestData Mining and Business Intelligence Mock TestData Mining and Data Warehouse Mock TestData Structure and Algorithms Mock TestData Structures Mock TestDataBase Management System Mock TestDesign and Analysis of Algorithms Mock TestDigital Electronics and Logic Design Mock TestDigital Logic Circuits Mock TestDigital Principles and System Design Mock TestDiscrete Mathematics Mock TestDiscrete Structure Mock TestDotNet Technology Mock TestEmbedded Real Time Operating System Mock TestGreen Computing Mock TestHigh Performance Computing Mock TestInformation Cyber Security Mock TestInformation and Network Security Mock TestInformation Retrival Techniques Mock TestInformation Systems and Engineering Economics Mock TestMachine Learning Mock TestMicroprocessor and Interfacing Technique Mock TestMicroprocessors Mock TestMuli core Architectures and Pro Mock TestMulti core processors Mock TestNetwork Security Mock TestNeural Networks and Fuzzy Control Object Oriented Programming Mock TestOperating System Architecture Mock TestOperating System Mock TestProblem Solving and Python Programming Mock TestProgramming for Problem Solving Mock TestPython Programming Mock TestSoft Computing Mock TestSoftware Design Modeling Mock TestSoftware Engineering Mock TestSoftware Testing Mock TestSoftware Testing and Quality Assurance Mock TestTheory of Computation and Compiler Design Mock TestTheory of Computation Mock TestUbiquitous Computing System Mock Test Computer Science Engineering Mock Tests