Description : Terms of an offer must be ......... (a) Ambiguous (b) Uncertain (c) Definite (d) Vague
Last Answer : (c) Definite
Description : What is the form of Fuzzy logic? a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic
Last Answer : c) Many-valued logic
Description : Fuzzy logic is a form of a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic
Description : Conventional Artificial Intelligence is different from soft computing in the sense A. Conventional Artificial Intelligence deal with prdicate logic where as soft computing deal with fuzzy logic B. Conventional Artificial ... empirical data C. Both (a) and (b) D. None of the above
Last Answer : C. Both (a) and (b
Description : Neural Computing A. mimics human brain B. information processing paradigm C. Both (a) and (b) D. None of the above
Last Answer : C. Both (a) and (b)
Description : Computers normally solve problem by breaking them down into a series of yes-or-no decisions represented by 1s and 0s. What is the name of the logic that allows computers to assign numerical values that fail ... 0 and 1? a) Human logic b) Fuzzy logic c) Boolean logic d) Operational logic
Last Answer : b) Fuzzy logic
Description : The first widely used commercial form of Artificial Intelligence (Al) is being used in many popular products like microwave ovens, automobiles and plug in circuit boards for desktop PCs. What is name of AI? A. Boolean logic B. Human logic C. Fuzzy logic D. Functional logic
Last Answer : C. Fuzzy logic
Description : Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by ____________ a) Fuzzy Logic b) Word Sense Disambiguation c) Shallow Semantic Analysis d) All of the mentioned
Last Answer : b) Word Sense Disambiguation
Description : How is Fuzzy Logic different from conventional control methods? a) IF and THEN Approach b) FOR Approach c) WHILE Approach d) DO Approach
Last Answer : a) IF and THEN Approach
Description : ____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned
Last Answer : c) Fuzzy Set
Description : ______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned
Last Answer : d) All of the mentioned
Description : Fuzzy logic is usually represented as ___________ a) IF-THEN-ELSE rules b) IF-THEN rules c) Both IF-THEN-ELSE rules & IF-THEN rules
Last Answer : b) IF-THEN rules
Description : Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False
Last Answer : a) True
Description : Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
Description : How is Fuzzy Logic different from conventional control methods? a) IF and THEN Approach b) FOR Approach c) WHILE Approach d) DO Approach e) Else If approach
Description : ______ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned
Description : Fuzzy logic is usually represented as a) IF-THEN-ELSE rules b) IF-THEN rules c) Both a & b d) None of the mentioned
Description : Core of soft Computing is A. Fuzzy Computing, Neural Computing, Genetic Algorithms B. Fuzzy Networks and Artificial Intelligence C. Artificial Intelligence and Neural Science D. Neural Science and Genetic Science
Last Answer : D. Neural Science and Genetic Science
Description : What is viewed as problem of probabilistic inference? a) Speech recognition b) Speaking c) Hearing d) Utterance
Last Answer : a) Speech recognition
Description : Which algorithm is used for solving temporal probabilistic reasoning? a) Hill-climbing search b) Hidden markov model c) Depth-first search d) Breadth-first search
Last Answer : b) Hidden markov model
Description : What is needed to make probabilistic systems feasible in the world? a) Reliability b) Crucial robustness c) Feasibility d) None of the mentioned
Last Answer : b) Crucial robustness
Description : The primitives in probabilistic reasoning are random variables. a) True b) False
Description : Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
Last Answer : d) Answering probabilistic query
Description : What are the tasks in probabilistic language model?
Last Answer : i. Information retrieval ii. Information Extraction iii. Machine Translation
Description : What is the name of the computer program that simulates the thought processes of human beings? a) Human logic b) Expert reason c) Expert system d) Personal information
Last Answer : c) Expert system
Description : Sensing organs as input, mechanical movement organs as output and central nervous system (CNS) in brain as control and computing devices is known as _____ of human being A. Information Control Paradigm B. Information Processing Paradigm C. Information Processing Control D. None of above
Last Answer : B. Information Processing Paradigm
Description : Which of the following statements is true with regard to the erratic behaviour of Indian monsoons? (a) Uniform duration but varying amounts of rain from one year to another, as well as at ... of rainfall during different years (d) Uniform duration but varying amounts of rain from place to place
Last Answer : Ans: (c)
Description : Like relational databases there does exists fuzzy relational databases. a) True b) False
Description : There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentioned
Last Answer : a) Hedges
Description : Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) All of the mentioned
Description : The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ a) Fuzzy Set b) Crisp Set c) Fuzzy & Crisp Set d) None of the mentioned
Last Answer : a) Fuzzy Set
Description : The truth values of traditional set theory is ____________ and that of fuzzy set is __________ a) Either 0 or 1, between 0 & 1 b) Between 0 & 1, either 0 or 1 c) Between 0 & 1, between 0 & 1 d) Either 0 or 1, either 0 or 1
Last Answer : a) Either 0 or 1, between 0 & 1
Description : The crossover points of a membership function are defined as the elements in the universe for which a particular fuzzy set has values equal to A. infinite B. 1 C. 0 D. 0.5
Last Answer : D. 0.5
Description : The membership values of the membership function are nor strictly monotonically increasing or decreasing or strictly monoronically increasing than decreasing. A. Convex Fuzzy Set B. Non convex fuzzy set C. Normal Fuzzy set D. Sub normal fuzzy set
Last Answer : B. Non convex fuzzy set
Description : A fuzzy set has a membership function whose membership values are strictly monotonically increasing or strictly monotonically decreasing or strictly monotonically increasing than strictly monotonically decreasing with increasing ... fuzzy set C. Non concave Fuzzy set D. Non Convex Fuzzy set
Last Answer : A. convex fuzzy set
Description : A fuzzy set wherein no membership function has its value equal to 1 is called A. normal fuzzy set B. subnormal fuzzy set. C. convex fuzzy set D. concave fuzzy set
Last Answer : B. subnormal fuzzy set.
Description : In a Fuzzy set a prototypical element has a value A. 1 B. 0 C. infinite D. Not defined
Last Answer : A. 1
Description : The region of universe that is characterized by complete membership in the set is called A. Core B. Support C. Boundary D. Fuzzy
Last Answer : A. Core
Description : Three main basic features involved in characterizing membership function are A. Intution, Inference, Rank Ordering B. Fuzzy Algorithm, Neural network, Genetic Algorithm C. Core, Support , Boundary D. Weighted Average, center of Sums, Median
Last Answer : C. Core, Support , Boundary
Description : Membership function defines the fuzziness in a fuzzy set irrespective of the elements in the set, which are discrete or continuous. A. True B. False
Last Answer : B. False
Description : There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentione
Description : Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) EX-OR
Last Answer : a) AND b) OR c) NOT
Description : The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set
Description : The truth values of traditional set theory is ____________ and that of fuzzy set is __________ a) Either 0 or 1, between 0 & 1 b) Between 0 & 1, either 0 or 1 c) Between 0 & 1, between 0
Description : Which of the following have computers traditionally done better than people? a) storing information b) responding flexibly c) computing numerically d) both storing information & computing numerically
Last Answer : d) both storing information & computing numerically