CS101
532
CS201
225
CS301
232
CS302
174
CS304
192
CS401
224
CS402
258
CS403
228
CS408
113
CS411
121
CS502
249
CS504
268
CS601
679
CS604
381
CS605
261
CS607
184
CS609
230
CS610
300
CS614
100
CS703
65
| Code | Question | Option A | Option B | Option C | Option D | Answer | |
|---|---|---|---|---|---|---|---|
| CS607 | Identify The Statement Which Best Defines The Fuzzy Sets | Fuzzy Sets Unlike Classical Sets Restrict Themselves To Something Lying Wholly In Either Set A Or In Set Not-A | Fuzzy Sets Like Classical Sets Restrict Themselves To Something Lying Wholly In Either Set A Or In Set Not-A | Fuzzy Sets Unlike Classical Sets Do Not Restrict Themselves To Something Lying Wholly In Either Set A Or In Set A | Fuzzy Sets Unlike Classical Sets Do Not Restrict Themselves To Something Lying Wholly In Either Set A Or In Set Not-A | D | |
| CS607 | Identify The Step Involved In Planning Phase | Knowledge Acquisition From Expert | Coding | Resource Allocation | Identify Concrete Knowledge Elements | C | |
| CS607 | Identify The Steps Involving In Planning Phase | Knowledge Acquisition From Expert | Coding | Resource Allocation | Identify Concrete Knowledge Element | C | |
| CS607 | Identify Which Statement Defines Classical Set In A Best Way | A Classical Set Is Container Which Includes But Not Wholly Excludes Any Given Element | A Classical Set Is Container Which Does Not Wholly Include Or Wholly Excludes Any Given Element | Classical Sets Either Wholly Include Something Or Exclude It From The Membership Of A Set | None Of The Given | C | |
| CS607 | Identify Which Statement Defines Classical Sets In A Best Way | A Classical Set Is A Container Which Wholly Includes But Not Wholly Excludes Any Given Element | A Classical Set Is A Container Which Does Not Wholly Includes Or Wholly Excludes Any Given Element | A Classical Set Is A Container Which Sometimes Wholly Includes Or Wholly Excludes Any Given Element | A Classical Set Is A Container Which Wholly Includes Or Wholly Excludes Any Given Element | D | |
| CS607 | If A Then B This Can Be Considered To Have A Similar Logical Meaning As The Following | A -> B | A <-> B | A <- B | None Of The Given | A | |
| CS607 | If Name Is Bob And Weather Is Cold Then Tell Bob Wear A Coat The Above Rule Is An Example Of ___________ | Recommendation Rule | Directive Rule | Relation Rule | None Of The Given Options | B | |
| CS607 | If Temperature Is Below 0 Then Weather Is Cold The Above Rule Is Used To Represent | Recommendations | Directives | Relations | None Of The Given Options | C | |
| CS607 | If The Antecedent Is Only Partially True Then The Output Fuzzy Set Is Truncated According To The ___________ Method | Intrinsic | Implication | Both A And B | None Of The Given | B | |
| CS607 | If The Antecedent Is Only Partially True Then The Output Fuzzy Set Is Truncated According To The ___________ Method | Intrinsic | Implication | Boolean | None Of The Given | B | |
| CS607 | If The Antecedent Is Only Partially True Then The Output Fuzzy Set Is Truncated According To The ___________ Method | Intrinsic | Implication | Boolean | None Of The Given | B | |
| CS607 | If The Antecedent Is Only Partially True Then The Output Fuzzy Set Is Truncated According To The___________ Method | Intrinsic | Implication | Boolean | None Of The Given | B | |
| CS607 | If The System Can Allocate Resources To Each Process In Some Order And Still Avoid A Deadlock Then It Is Said To Be In __________ State | Safe | Un-Safe | Mutual | Starvation | A | |
| CS607 | If The True Output Of A Concept [C(Xi)] Is 1 Or 0 For An Instance Then The Output By Our Hypothesis [H(Xi)] Is 1 Or 0 As Well Respectively | True | False | Na | Na | A | |
| CS607 | If There Are Multiple Part To The Antecedent Apply Fuzzy Logic__________ And Resolve The Antecedent To A Single Number Between 0 And 1 | Operator | Rules | Condition | None Of Given | A | |
| CS607 | In A Situation Where More Than One Conclusion Can Be Deduced From A Set Of Facts To Decide Which Rule To Be Fired We Use Conflict Resolution | True | False | Na | Na | A | |
| CS607 | In Adversarial Search The Goals Of The Adversaries Are Usually __________To Each Other | Contrary | Same | Both Of These | None Of The Given | A | |
| CS607 | In Adversarial Search There May Occur Such A Scenario Where Two Opponents Also Called __________ Are Searching For A Goal | Adversaries | Friends | Players | Intruders | A | |
| CS607 | In All Calculations Involving Entropy We Define ___________ To Be | 0 Log 0 0 | 0 Log 10 1 | 0 Log 0 1 | 1 Log 1 1 | A | |
| CS607 | In Anns Mse Is Known As | Most Squared Error | Mean Squared Error | Medium Squared Error | None Of The Given | B |