SlideShare ist ein Scribd-Unternehmen logo
1 von 11
OPERATION RESEARCH 
DECISION THEORY 
PRESENTED BY: ANASUYA BARIK 
OPERATION RESEARCH 1
DECISION THEORY 
Steps involved in decision theory approach: 
•Determine the various alternative courses of actions from which the final 
decision has to be made. 
•Identify the possible outcomes, called the states of nature or events 
for the decision problem. 
•Construct a pay off table. 
•The decision maker chooses the criterion which results in largest pay off. 
OPERATION RESEARCH 2
Decision making environments: 
•Decision under certainty 
Whenever there exists only one outcome for a decision, we are 
dealing with this category 
•Decisions under uncertainty: 
When more than one outcome can result from any single 
decision i.e. more than one state of nature exists. 
•Decision under risk: 
The decision maker chooses from among several possible 
outcomes where the probability of occurrence can be stated 
objectively from the past data. 
•Decision under conflict: 
Neither states of nature are completely known nor are they 
completely uncertain. 
OPERATION RESEARCH 3
DECISION UNDER UNCERTAINTY: 
There are five criterion on the basis of which rules for making a decision is 
Formulated: 
Criterion of pessimism: 
• Minimax or Maximin 
• Maximin is a conservative approach to assume worst possible outcomes 
• Steps involved: 
Find minimum assured pay off for each alternative 
Choose the maximum of minimum values. 
• Minimax involves two steps: 
Determine maximum possible cost for each alternative 
Choose the alternative minimum of above costs 
OPERATION RESEARCH 4
Criterion of optimism: 
•Mimimin or maximax 
•Two extreme optimism 
•Decision makes ensures that he should not miss the opportunity to achieve the 
the greatest possible pay off or lowest possible cost 
•Steps involved: 
Determine maximum possible payoff 
Select a alterative which corresponds to maximum of above 
maximum pay off 
•Minimin of cost is done in similar manner 
OPERATION RESEARCH 5
Laplace criterion: 
• It is assumed that all states of nature will occur with equal probability 
•Probabilities of each state of nature is given by 1/( number of states of nature) 
•Steps involved: 
i. Assign equal probabilities to each payoff of a strategy 
ii. Determine the expected pay off value for each alternative. 
iii. Select the alternative which corresponds to the maximum payoff or 
minimum cost 
OPERATION RESEARCH 6
Criterion of realism or Hurwicz criterion: 
•Coefficient of optimism α 
•0<α<1 where o signifies total pessimism and 1 total optimism 
•Steps involved: 
i. Decide the coefficient of optimism and the coefficient of pessimism 
ii. Determine the maximum as well as minimum pay off for each alterative 
h= α x maximum for each alterative + (1-α) x minimum for each alterative 
iii. Select the alternative with highest value of h. 
OPERATION RESEARCH 7
Example: 
A farmer wants to decide which of the three crops he should plant on his 100 
Acre farm. The profit from each is dependent on the rainfall during the growing 
seasons. The farmer has categorized the amount of rainfall as high, medium, 
low. His estimated profit for each is show in the table: 
Rainfall Crop A Crop B Crop C 
High 8000 3500 5000 
Medium 4500 4500 5000 
Low 2000 5000 4000 
If the farmer wishes to plant only one crop, decide which will be his choice using 
•Maximax criterion 
•Maximin criterion 
•Hurwicz criterion 
•Laplace criterion 
OPERATION RESEARCH 8
Rainfall Crop A Crop B Crop C 
High 8000 3500 5000 
Medium 4500 4500 5000 
Low 2000 5000 4000 
i. Maximax criterion: 
From table we observe that maximum pay off for each alternative are 
8000, 5000 ad 5000 respectively. Maximum among these is 8000 
corresponding to crop A. So this strategy chooses crop A . 
ii. Maximin criterion selects crop C 
iii. Hurwicz criterion: 
Assuming degree of optimism α = 0.6 ad therefore 1-α = 0.4 , the value of 
h is calculated in the table: 
Alternativ 
e 
Maximum 
pay off 
Minimum 
pay off 
OPERATION RESEARCH 9 
h 
Crop A 8000 2000 5600 
Crop B 5000 3500 4400 
Crop C 5000 4000 4600
The maximum value is 5600 so this criterion selects crop A. 
iv. Laplace criterion: 
Assign equal probabilities i.e. 1/3. The expected pay off is calculated 
for each alterative: 
E (Crop A)=1/3(8000)+1/3(4500)+1/3(2000)= 4833 
E (Crop B)=4333 
E (Crop C)=4666 
Hence this criterion also selects crop A. 
OPERATION RESEARCH 10
Thank you! 
OPERATION RESEARCH 11

Weitere ähnliche Inhalte

Was ist angesagt?

Decision making environment
Decision making environmentDecision making environment
Decision making environmentshubhamvaghela
 
Render 03 Quantitative analysis for management
Render 03 Quantitative analysis for managementRender 03 Quantitative analysis for management
Render 03 Quantitative analysis for managementFranchezka Pegollo
 
Decision Theory Lecture Notes.pdf
Decision Theory Lecture Notes.pdfDecision Theory Lecture Notes.pdf
Decision Theory Lecture Notes.pdfDr. Tushar J Bhatt
 
Assignment problem
Assignment problemAssignment problem
Assignment problemAbu Bashar
 
decision making criterion
decision making criteriondecision making criterion
decision making criterionGaurav Sonkar
 
Decision tree in decision analysis
Decision tree in decision analysisDecision tree in decision analysis
Decision tree in decision analysisDr.ammara khakwani
 
Decision making under condition of risk and uncertainty
Decision making under condition of risk and uncertaintyDecision making under condition of risk and uncertainty
Decision making under condition of risk and uncertaintysapna moodautia
 
Decision Theory
Decision TheoryDecision Theory
Decision Theorykzoe1996
 
Decision making under uncertainty
Decision making under uncertaintyDecision making under uncertainty
Decision making under uncertaintySagar Khairnar
 
Duality in Linear Programming
Duality in Linear ProgrammingDuality in Linear Programming
Duality in Linear Programmingjyothimonc
 
Sensitivity analysis linear programming copy
Sensitivity analysis linear programming   copySensitivity analysis linear programming   copy
Sensitivity analysis linear programming copyKiran Jadhav
 
3. linear programming senstivity analysis
3. linear programming senstivity analysis3. linear programming senstivity analysis
3. linear programming senstivity analysisHakeem-Ur- Rehman
 

Was ist angesagt? (20)

Decision making environment
Decision making environmentDecision making environment
Decision making environment
 
Decision theory
Decision theoryDecision theory
Decision theory
 
Render 03 Quantitative analysis for management
Render 03 Quantitative analysis for managementRender 03 Quantitative analysis for management
Render 03 Quantitative analysis for management
 
Decision Theory Lecture Notes.pdf
Decision Theory Lecture Notes.pdfDecision Theory Lecture Notes.pdf
Decision Theory Lecture Notes.pdf
 
Assignment problem
Assignment problemAssignment problem
Assignment problem
 
decision making criterion
decision making criteriondecision making criterion
decision making criterion
 
Decision tree in decision analysis
Decision tree in decision analysisDecision tree in decision analysis
Decision tree in decision analysis
 
Decision making under condition of risk and uncertainty
Decision making under condition of risk and uncertaintyDecision making under condition of risk and uncertainty
Decision making under condition of risk and uncertainty
 
Game theory
Game theoryGame theory
Game theory
 
Decision Theory
Decision TheoryDecision Theory
Decision Theory
 
Decision Theory
Decision TheoryDecision Theory
Decision Theory
 
Decision making under uncertainty
Decision making under uncertaintyDecision making under uncertainty
Decision making under uncertainty
 
Decision tree
Decision treeDecision tree
Decision tree
 
Decision Theory
Decision TheoryDecision Theory
Decision Theory
 
Game theory
Game theoryGame theory
Game theory
 
Duality in Linear Programming
Duality in Linear ProgrammingDuality in Linear Programming
Duality in Linear Programming
 
Sensitivity analysis linear programming copy
Sensitivity analysis linear programming   copySensitivity analysis linear programming   copy
Sensitivity analysis linear programming copy
 
3. linear programming senstivity analysis
3. linear programming senstivity analysis3. linear programming senstivity analysis
3. linear programming senstivity analysis
 
Decision theory
Decision theoryDecision theory
Decision theory
 
Assignment model
Assignment modelAssignment model
Assignment model
 

Andere mochten auch

Decision making under uncertainty
Decision making under uncertainty Decision making under uncertainty
Decision making under uncertainty Ofer Erez
 
Sequencing problems in Operations Research
Sequencing problems in Operations ResearchSequencing problems in Operations Research
Sequencing problems in Operations ResearchAbu Bashar
 
Poisson distribution
Poisson distributionPoisson distribution
Poisson distributionAntiqNyke
 
Managing Decision Under Uncertainties
Managing Decision Under UncertaintiesManaging Decision Under Uncertainties
Managing Decision Under UncertaintiesElijah Ezendu
 
Normal distribution
Normal distributionNormal distribution
Normal distributionSteve Bishop
 
QUEUING THEORY
QUEUING THEORYQUEUING THEORY
QUEUING THEORYavtarsingh
 

Andere mochten auch (7)

Decision making under uncertainty
Decision making under uncertainty Decision making under uncertainty
Decision making under uncertainty
 
Sequencing problems in Operations Research
Sequencing problems in Operations ResearchSequencing problems in Operations Research
Sequencing problems in Operations Research
 
Poisson distribution
Poisson distributionPoisson distribution
Poisson distribution
 
Managing Decision Under Uncertainties
Managing Decision Under UncertaintiesManaging Decision Under Uncertainties
Managing Decision Under Uncertainties
 
Normal distribution
Normal distributionNormal distribution
Normal distribution
 
QUEUING THEORY
QUEUING THEORYQUEUING THEORY
QUEUING THEORY
 
Decision making
Decision makingDecision making
Decision making
 

Ähnlich wie DECISION THEORY WITH EXAMPLE

Statistical decision theory
Statistical decision theoryStatistical decision theory
Statistical decision theoryRachna Gupta
 
Decisiontree&amp;game theory
Decisiontree&amp;game theoryDecisiontree&amp;game theory
Decisiontree&amp;game theoryDevaKumari Vijay
 
OR CHAPTER FOUR.pptx
OR CHAPTER FOUR.pptxOR CHAPTER FOUR.pptx
OR CHAPTER FOUR.pptxAynetuTerefe2
 
Decision analysis & Markov chain
Decision analysis & Markov chainDecision analysis & Markov chain
Decision analysis & Markov chainSawsan Monir
 
Statr session 15 and 16
Statr session 15 and 16Statr session 15 and 16
Statr session 15 and 16Ruru Chowdhury
 
Module 5 Decision Theory
Module 5 Decision TheoryModule 5 Decision Theory
Module 5 Decision TheoryLumen Learning
 
Presentation of decision modeling
Presentation of decision modelingPresentation of decision modeling
Presentation of decision modelingTahirsabir55
 
Implementing decision rule made simple
Implementing decision rule made simpleImplementing decision rule made simple
Implementing decision rule made simpleGH Yeoh
 
Lesson9.1 hpaa241
Lesson9.1 hpaa241Lesson9.1 hpaa241
Lesson9.1 hpaa241123chacko
 
Decision analysis
Decision analysisDecision analysis
Decision analysisTony Nguyen
 

Ähnlich wie DECISION THEORY WITH EXAMPLE (20)

Statistical decision theory
Statistical decision theoryStatistical decision theory
Statistical decision theory
 
Decisiontree&amp;game theory
Decisiontree&amp;game theoryDecisiontree&amp;game theory
Decisiontree&amp;game theory
 
Linear Programming- Lecture 1
Linear Programming- Lecture 1Linear Programming- Lecture 1
Linear Programming- Lecture 1
 
Qt decision theory
Qt decision theoryQt decision theory
Qt decision theory
 
OR CHAPTER FOUR.pptx
OR CHAPTER FOUR.pptxOR CHAPTER FOUR.pptx
OR CHAPTER FOUR.pptx
 
Decision Theory
Decision TheoryDecision Theory
Decision Theory
 
Payoff_ 7.ppt
Payoff_ 7.pptPayoff_ 7.ppt
Payoff_ 7.ppt
 
Unit i-2-dt
Unit i-2-dtUnit i-2-dt
Unit i-2-dt
 
Decision analysis & Markov chain
Decision analysis & Markov chainDecision analysis & Markov chain
Decision analysis & Markov chain
 
Decision theory
Decision theoryDecision theory
Decision theory
 
Statr session 15 and 16
Statr session 15 and 16Statr session 15 and 16
Statr session 15 and 16
 
Module 5 Decision Theory
Module 5 Decision TheoryModule 5 Decision Theory
Module 5 Decision Theory
 
Presentation of decision modeling
Presentation of decision modelingPresentation of decision modeling
Presentation of decision modeling
 
Implementing decision rule made simple
Implementing decision rule made simpleImplementing decision rule made simple
Implementing decision rule made simple
 
Unit 1 or
Unit 1 orUnit 1 or
Unit 1 or
 
Lesson9.1 hpaa241
Lesson9.1 hpaa241Lesson9.1 hpaa241
Lesson9.1 hpaa241
 
Decision analysis
Decision analysisDecision analysis
Decision analysis
 
Decision analysis
Decision analysisDecision analysis
Decision analysis
 
Decision analysis
Decision analysisDecision analysis
Decision analysis
 
Decision analysis
Decision analysisDecision analysis
Decision analysis
 

Kürzlich hochgeladen

Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...Call Girls in Nagpur High Profile
 
Vivazz, Mieres Social Housing Design Spain
Vivazz, Mieres Social Housing Design SpainVivazz, Mieres Social Housing Design Spain
Vivazz, Mieres Social Housing Design Spaintimesproduction05
 
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VThermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VDineshKumar4165
 
AKTU Computer Networks notes --- Unit 3.pdf
AKTU Computer Networks notes ---  Unit 3.pdfAKTU Computer Networks notes ---  Unit 3.pdf
AKTU Computer Networks notes --- Unit 3.pdfankushspencer015
 
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTbhaskargani46
 
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...roncy bisnoi
 
UNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular ConduitsUNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular Conduitsrknatarajan
 
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELLPVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELLManishPatel169454
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSISrknatarajan
 
VIP Model Call Girls Kothrud ( Pune ) Call ON 8005736733 Starting From 5K to ...
VIP Model Call Girls Kothrud ( Pune ) Call ON 8005736733 Starting From 5K to ...VIP Model Call Girls Kothrud ( Pune ) Call ON 8005736733 Starting From 5K to ...
VIP Model Call Girls Kothrud ( Pune ) Call ON 8005736733 Starting From 5K to ...SUHANI PANDEY
 
Call for Papers - International Journal of Intelligent Systems and Applicatio...
Call for Papers - International Journal of Intelligent Systems and Applicatio...Call for Papers - International Journal of Intelligent Systems and Applicatio...
Call for Papers - International Journal of Intelligent Systems and Applicatio...Christo Ananth
 
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptxBSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptxfenichawla
 
Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . pptDineshKumar4165
 
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Bookingdharasingh5698
 
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Dr.Costas Sachpazis
 

Kürzlich hochgeladen (20)

Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
 
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
 
Vivazz, Mieres Social Housing Design Spain
Vivazz, Mieres Social Housing Design SpainVivazz, Mieres Social Housing Design Spain
Vivazz, Mieres Social Housing Design Spain
 
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VThermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - V
 
AKTU Computer Networks notes --- Unit 3.pdf
AKTU Computer Networks notes ---  Unit 3.pdfAKTU Computer Networks notes ---  Unit 3.pdf
AKTU Computer Networks notes --- Unit 3.pdf
 
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPT
 
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
 
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
 
UNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular ConduitsUNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular Conduits
 
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELLPVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
 
VIP Model Call Girls Kothrud ( Pune ) Call ON 8005736733 Starting From 5K to ...
VIP Model Call Girls Kothrud ( Pune ) Call ON 8005736733 Starting From 5K to ...VIP Model Call Girls Kothrud ( Pune ) Call ON 8005736733 Starting From 5K to ...
VIP Model Call Girls Kothrud ( Pune ) Call ON 8005736733 Starting From 5K to ...
 
Call for Papers - International Journal of Intelligent Systems and Applicatio...
Call for Papers - International Journal of Intelligent Systems and Applicatio...Call for Papers - International Journal of Intelligent Systems and Applicatio...
Call for Papers - International Journal of Intelligent Systems and Applicatio...
 
NFPA 5000 2024 standard .
NFPA 5000 2024 standard                                  .NFPA 5000 2024 standard                                  .
NFPA 5000 2024 standard .
 
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
 
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptxBSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
 
Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
 
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
 
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
 

DECISION THEORY WITH EXAMPLE

  • 1. OPERATION RESEARCH DECISION THEORY PRESENTED BY: ANASUYA BARIK OPERATION RESEARCH 1
  • 2. DECISION THEORY Steps involved in decision theory approach: •Determine the various alternative courses of actions from which the final decision has to be made. •Identify the possible outcomes, called the states of nature or events for the decision problem. •Construct a pay off table. •The decision maker chooses the criterion which results in largest pay off. OPERATION RESEARCH 2
  • 3. Decision making environments: •Decision under certainty Whenever there exists only one outcome for a decision, we are dealing with this category •Decisions under uncertainty: When more than one outcome can result from any single decision i.e. more than one state of nature exists. •Decision under risk: The decision maker chooses from among several possible outcomes where the probability of occurrence can be stated objectively from the past data. •Decision under conflict: Neither states of nature are completely known nor are they completely uncertain. OPERATION RESEARCH 3
  • 4. DECISION UNDER UNCERTAINTY: There are five criterion on the basis of which rules for making a decision is Formulated: Criterion of pessimism: • Minimax or Maximin • Maximin is a conservative approach to assume worst possible outcomes • Steps involved: Find minimum assured pay off for each alternative Choose the maximum of minimum values. • Minimax involves two steps: Determine maximum possible cost for each alternative Choose the alternative minimum of above costs OPERATION RESEARCH 4
  • 5. Criterion of optimism: •Mimimin or maximax •Two extreme optimism •Decision makes ensures that he should not miss the opportunity to achieve the the greatest possible pay off or lowest possible cost •Steps involved: Determine maximum possible payoff Select a alterative which corresponds to maximum of above maximum pay off •Minimin of cost is done in similar manner OPERATION RESEARCH 5
  • 6. Laplace criterion: • It is assumed that all states of nature will occur with equal probability •Probabilities of each state of nature is given by 1/( number of states of nature) •Steps involved: i. Assign equal probabilities to each payoff of a strategy ii. Determine the expected pay off value for each alternative. iii. Select the alternative which corresponds to the maximum payoff or minimum cost OPERATION RESEARCH 6
  • 7. Criterion of realism or Hurwicz criterion: •Coefficient of optimism α •0<α<1 where o signifies total pessimism and 1 total optimism •Steps involved: i. Decide the coefficient of optimism and the coefficient of pessimism ii. Determine the maximum as well as minimum pay off for each alterative h= α x maximum for each alterative + (1-α) x minimum for each alterative iii. Select the alternative with highest value of h. OPERATION RESEARCH 7
  • 8. Example: A farmer wants to decide which of the three crops he should plant on his 100 Acre farm. The profit from each is dependent on the rainfall during the growing seasons. The farmer has categorized the amount of rainfall as high, medium, low. His estimated profit for each is show in the table: Rainfall Crop A Crop B Crop C High 8000 3500 5000 Medium 4500 4500 5000 Low 2000 5000 4000 If the farmer wishes to plant only one crop, decide which will be his choice using •Maximax criterion •Maximin criterion •Hurwicz criterion •Laplace criterion OPERATION RESEARCH 8
  • 9. Rainfall Crop A Crop B Crop C High 8000 3500 5000 Medium 4500 4500 5000 Low 2000 5000 4000 i. Maximax criterion: From table we observe that maximum pay off for each alternative are 8000, 5000 ad 5000 respectively. Maximum among these is 8000 corresponding to crop A. So this strategy chooses crop A . ii. Maximin criterion selects crop C iii. Hurwicz criterion: Assuming degree of optimism α = 0.6 ad therefore 1-α = 0.4 , the value of h is calculated in the table: Alternativ e Maximum pay off Minimum pay off OPERATION RESEARCH 9 h Crop A 8000 2000 5600 Crop B 5000 3500 4400 Crop C 5000 4000 4600
  • 10. The maximum value is 5600 so this criterion selects crop A. iv. Laplace criterion: Assign equal probabilities i.e. 1/3. The expected pay off is calculated for each alterative: E (Crop A)=1/3(8000)+1/3(4500)+1/3(2000)= 4833 E (Crop B)=4333 E (Crop C)=4666 Hence this criterion also selects crop A. OPERATION RESEARCH 10
  • 11. Thank you! OPERATION RESEARCH 11