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10 The Analytic Hierarchy Process Using Decision Lens

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CardinaleWay Mazda
CardinaleWay Mazda

The document describes using the Analytic Hierarchy Process (AHP) to help a couple choose which car to purchase out of three options: Honda, Mazda, or Volvo. It outlines the steps to build an AHP model in Decision Lens software, including establishing criteria of cost, safety, and appearance to evaluate the alternatives. Pairwise comparisons are made between criteria to calculate their weights, and between alternatives for each criterion. The final weights show the Honda as the top choice.

Indústria automotivaTecnologiaNegócios
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Decision Technology Modeling, Software and Applications ,[object Object],[object Object],[object Object]
Chapter 10 The Analytic Hierarchy Process Using Decision Lens
CAR PURCHASE EXAMPLE ,[object Object],[object Object],[object Object]
CAR PURCHASE EXAMPLE ,[object Object],[object Object],[object Object]
[object Object],[object Object],DECISION LENS: FILE SETUP
[object Object],[object Object],[object Object],[object Object],DECISION LENS: FILE SETUP
DECISION LENS: FILE SETUP ,[object Object],[object Object],[object Object]
ANALYZING THE HIERARCHY ,[object Object],[object Object],[object Object]
REMAINING COMPUTATIONS ,[object Object],[object Object],[object Object]
DETERMINING PRIORITIES ,[object Object],[object Object],[object Object]
STANDARD 1 - 9 MEASUREMENT SCALE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
COST PAIRWISE COMPARISONS ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],COST PAIRWISE COMPARISONS
[object Object],[object Object],[object Object],Entering Judgments
[object Object],[object Object],[object Object],[object Object],DECISION LENS: Entering Judgments
[object Object],[object Object],[object Object],[object Object],DECISION LENS: Entering Judgments
INCONSISTENCY OF JUDGMENTS ,[object Object],[object Object],[object Object]
INCONSISTENCY OF JUDGMENTS ,[object Object],[object Object],[object Object],[object Object],[object Object]
INCONSISTENCY OF JUDGMENTS ,[object Object],[object Object]
INCONSISTENCY OF JUDGMENTS ,[object Object],[object Object]
REMAINING COMPUTATIONS ,[object Object],[object Object],[object Object],[object Object]
HYPOTHETICAL DATA FOR CAR PURCHASE EXAMPLE Car Cost Safety* Appearance Honda $22,000 Average Sporty Mazda 28,500 Above Average Slick Volvo 33,000 Excellent Dull * Safety Rating from a consumer testing service.
COST JUDGMENTS ,[object Object],[object Object],[object Object],[object Object],[object Object]
SAFETY & APPEARANCE JUDGMENTS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ENTERING JUDGMENTS IN DECISION LENS ,[object Object],[object Object],[object Object]
ENTERING JUDGMENTS IN DECISION LENS ,[object Object],[object Object]
REMAINING COMPUTATIONS ,[object Object],[object Object],[object Object]
FINAL CAR WEIGHTS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
FINAL CAR WEIGHTS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
FINAL CAR WEIGHTS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
FINAL CAR WEIGHTS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
LOCAL VS GLOBAL WEIGHTS ,[object Object],[object Object],[object Object]
INTERPRETING THE RESULTS ,[object Object],[object Object],[object Object],[object Object]
INTERPRETING THE RESULTS ,[object Object],[object Object],[object Object],[object Object],[object Object]
SYNTHESIS MODES ,[object Object],[object Object],[object Object]
SYNTHESIS MODES ,[object Object],[object Object],[object Object],[object Object]
SYNTHESIS MODES ,[object Object],[object Object],[object Object]
IDEAL MODE ,[object Object],[object Object]
IDEAL MODE ,[object Object],[object Object],[object Object],[object Object]
IDEAL MODE ,[object Object],[object Object]
IDEAL MODE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IDEAL MODE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Since the sum of the three weights is 1.550, we divide each weight by 1.550 to normalize the results.
IDEAL MODE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Since the sum of the three weights is 1.550, we divide each weight by 1.550 to normalize the results.
SENSITIVITY ANALYSIS ,[object Object],[object Object],[object Object]
DECISION LENS: Sensitivity Analysis ,[object Object],[object Object]
[object Object],[object Object],DECISION LENS: Sensitivity Analysis
[object Object],[object Object],[object Object],[object Object],DECISION LENS: Sensitivity Analysis
[object Object],[object Object],[object Object],ALLOCATING RESOURCES
[object Object],[object Object],[object Object],ALLOCATING RESOURCES
[object Object],[object Object],[object Object],ALLOCATING RESOURCES
[object Object],[object Object],ALLOCATING RESOURCES
[object Object],[object Object],[object Object],ALLOCATING RESOURCES
[object Object],[object Object],[object Object],ALLOCATING RESOURCES
[object Object],[object Object],[object Object],ALLOCATING RESOURCES
[object Object],[object Object],[object Object],Summary
[object Object],[object Object],[object Object],Summary
COPYRIGHT ,[object Object]

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10 The Analytic Hierarchy Process Using Decision Lens

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  • 37. HYPOTHETICAL DATA FOR CAR PURCHASE EXAMPLE Car Cost Safety* Appearance Honda $22,000 Average Sporty Mazda 28,500 Above Average Slick Volvo 33,000 Excellent Dull * Safety Rating from a consumer testing service.
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