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SEO Keyword summary for www.slideshare.net/anuragsrivastava11/unit-i2dt
Keywords are extracted from the main content of your website and are the primary indicator of the words this page could rank for. By frequenty count we expect your focus keyword to be decision
Focus keyword
Short and long tail
Short Tail Keywords decision theory method |
long Tail Keywords (2 words) 150 200 200 250 decision making 250 300 decision theory |
long Tail Keywords (3 words) 150 200 250 200 250 300 courses of action 250 300 350 states of nature state of nature course of action |
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slideshare scribd company logo anurag srivastava operations researchmba decisionmakingenvironmentsdecision theoryunit decision theory introduction managerial activity includes broadly fourphases namely planning organisingdirecting controlling performing all these activities themanagement has face several suchsituations where have make choiceof best among number alternativecourses action choice making technically termed asdecisionmaking simply selection from two ormore courses provides rich set conceptsand techniques aid maker indealing complex problems definition process results aset alternative thatcourse considered meetthe objectives problem moresatisfactorily than others judged thedecision applications select job offers most profitable investment portfolio determine whether not expand amanufacturing facility large plant small plantor should built decide invest new plantequipment research programme marketingfacilities etc steps clearly identify define athand specify criteria evaluate possiblealternatives formulate one mathematicaldecision models apply model bestalternative conduct sensitivity analysis solution communication implementation ofdecision followup feedback concepts individual group ofindividuals responsible appropriate course amongstthe available ofactions strategies are acts areavailable states nature events occurrenceswhich outside control decisionmaker but level ofsuccess given payoff combination strategy andevent associated whichmeasures net benefit table payofftable lists payoffs ofevent regretopportunity loss anopportunity incurred due tofailure adopting possiblestrategy state theopportunity possible thedifference between thatstrategy could been selected types decisionmakingenvironments certainty complete accurate knowledgeof outcome there isonly risk multiple outcomes eachalternative probability occurrenceattached uncertainty knowledge theprobability occurrence decisionmaking under consequence selecting ofaction known presumed only isrelevant purpose identifies takes forgranted presumes knowledgeas its some used system equations linear programming integer dynamic queuing inventory capital budgeting break even faces ofnature supposed believable evidentialinformation experience orjudgement enable him assign probabilityvalues likelihood eachstate largestexpected value widely criterion theexpected monetary emv expectedpayoff objective tooptimise expected means maximisation profit orminimisation regret andprobability assessments foreach isrepeated times thesum alternativeseach weighted thatpayoff occurring calculating construct along theprobabilities stateof calculate asshown earlier yields theoptimal perfectinformation perfect informationis average return longrun information before adecision made calculated choosing andmultiplying ofthat ststate xprobability bestoutcome ndstate probabilityof forlast last evpi minus withoutperfect maximumemv opportunity eol approach maximising isto minimise regrets suppose electrical goods merchant buys resalepurposes market electric irons range his resources permit buy nothing units orstrategies demand any day issomething beyond hence let presume dealer does knowhow many will bought thecustomers anything can unit iron sell margin being per unitassume stock hand valueless portray apayoff quantum oftotal gets relation variousalternative matrixcourses statesofnature person running hot snack stallor icecream cold drink stall ooty theweather cool rainy expect aprofit warm tomake stallon other run weather chanceof coming seasonshould opt anicecream newspaper boy following probabilities ofselling magazineno copies sold cost copy paise sale price hecannot unsold how copiesshould order dairy firm wants quantity ofbutter produce meet pastrecords shown patternthe levels restricted inadequate storing facilities butter costsrs kgiconstruct conditional tableiidetermine withmaximization profitiiidetermine evpiquantity required days occurred matrix probabilitiescourses pstatesofnature emvcourses emvmaxcourses lossregretcourses eolmincourses method eolmin iicourses retailer cup sells icecreamremaining end bedisposed salvage pastsales ranged cups daythere reason believe sales volume willtake magnitude future find theevpi history followingprobabilitiesmarket size television finds stockfor week shortage isrs particular probabilitydistribution weekly followshow orderalso evpiweekly historical data cannot example product themarket dependslargely upon personality policy organisation conditionof maximin maximax minimax hurwicz bayeslaplaces pessimism also called waldian lowest choose thebest optimism suggested leonid bestof attributed leonard savage attractivealternative place zero those cells compute alternatives maximum lowestof realism hurwiczcriterion compromise andmaximin coefficient isselected close isoptimistic about ispessimistic maximises laplace equal highestalternative manufactures three products fixedand variable costs belowthe likely belowpoor moderate high type thenprepare matrixproduct fixed rsa farmer crops acrefarm dependent rainfall during growing seasonthe categorized amount medium low hisestimated belowif wishes crop cropusingamaximax criterionbmaximin criterionchurwicz farmers degree dlaplace criterioneminimax criterionrainfall estimated rscrop chigh manufacturer makes principalingredient chemical moment themanufacturer spends year supply xbut possibility may soon increaseto four present figure because worldwideshortage another ywhich conjunction thirdchemical give same effect xchemicals would together manufacturerrs prices unlikely risewhat take themaximin decisionmakingand sets solutionsif minimizes tree using problemalternative natureand diagrammaticallydepicted consists network nodesbranches estimates nodes decisionnodesquare chance node circle originate fromdecision main branches decisionbranches terminal branch isa emanate inthe form subbranches respective probabilitiesassociated andchance alongside chancebranches expectedpayoffs trees deterministic probabilistic further subdivided into singlestage multistage single stage treeinvolves underconditions multi sequenceor chain decisions involving bemade conditions uncertaintymore berepresented probabilisticdecision above sequence ofdecisions stageprobabilistic nodecourse actionoutcome payoffoutcome nodestate drawing treeconventions tobe must naturethat might occur result decisionalternative develop diagram showing sequenceof estimate eventswill decisionalternatives obtain usually expressed ineconomic terms interactionsamong possibledecision offering attractive expectedvalue rollback technique analysing proceeds sequenceand works back first thepossible rules concerning total summing values square thetotal emanating fromthat highest expectedbenefit gives advantages useful portraying interrelated sequential andmultidimensional aspects focuses attention critical elements decisionproblem especially cases initial andits affect subsequent enables see variouselements systematic way explicitlydefined applied various fields marketing pricing assets acquisition owns lease property maysell drill saidproperty oil drilling resultsare ofhappening rupee consequencespossible consequencedry well gas leasedrill oiloutcome drillingdry abc ltd introduce different anddevelopment plans lakh success whereas event whetherto advertise heavily lightly heavy advertising willcost full acceptance partial lightadvertising fullacceptance marketacceptance developed plan beworth worth lakhpartial both lakhwhich adopt sort advertisingshould done solve problemwith help ars brs failure formulation lpp environment inroduction game graphical modi transportation meaning origin characteristics operation application ppt simplex case purnima pandit vladimir tingue venture real options qtbd mba sem incorporation fundamental economic business capacity planningpptx economics combinedcompressedpdf stop flying blind quantifying monte carlo simulation ssad chosen our press whose name vam project networks flowchart strategic management numerical solved games dual crashing assignment minimisation travis hills minnesota leads livestock water energy sustainable inn principles analyze zara manage create recognition teams deservepptx presentation yusuf ibn tashfin true leader prepared agile world scrum gathering professional pmp pmi organization design fashion fit henry mintzberg banks overview
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Domain Level SEO
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18 characters long
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unit found in path !
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Abhi23396 it describes concept of decision under certainty with exampleinroduction to decision theory and decision making under certainty
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AnuragSrivastava11 simplex method maximisation
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shubhamvaghela 5decision making process recognizing defining the situationidentifying the alternativesevaluating the alternativesapply the modelselecting the best alternativesconduct a sensitivity of the solutionimplementing the chosen alternativesfollowing up evaluating the result6type of decision making environmentdecision making under certaintydecision making under uncertaintydecision making under risk23decision tree instances describable by attributevalue pairseg humidity high normaltarget function is discrete valuedeg play tennis yes nodisjunctive hypothesis may be requiredeg outlooksunny windweakpossibly noisy training datamissing attribute valuesapplication examplesmedical diagnosiscredit risk analysisobject classification for robot manipulator tan 199325bayesian analysis 26utility theory step for determine the utility for money develop a payoff table using monetary valuesidentify the best and worst payoff valuefor every other monetary value in the original payoff table convert the payoff table from monetary value to calculate utility valueapply the expected utility criterion to the utility table and select the decision alternative with the best expected utility decision making environment
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www.slideshare.net anurag srivastava
surekha98
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Mobile Website | 100% | Perfect, we found a responsive design for mobile users | |
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