感性工程Kansei EngineeringDay4:KanseiRecommendationNovember23,2017YoshiteruNAKAMORl,ProfessorEmeritusJapanAdvanced Institute of ScienceandTechnology
Kansei Engineering Day 4: Kansei Recommendation November 23, 2017 Yoshiteru NAKAMORI, Professor Emeritus Japan Advanced Institute of Science and Technology 感性工程
Today'sContents1.OrderedWeightedAveragingMethod有序加权平均2.Exercise3:ProductRecommendation产品推荐3.Non-additiveAggregationMethod非加性聚集4.Exercise4:ProductRecommendation产品推荐CheerfulMelancholy快乐愁绪<
1. Ordered Weighted Averaging Method 有序加权平均 2. Exercise 3: Product Recommendation 产品推荐 3. Non-additive Aggregation Method 非加性聚集 4. Exercise 4: Product Recommendation 产品推荐 Today’s Contents Cheerful 快乐 2 Melancholy 愁绪 < >
1. Ordered Weighted Averaging MethodPleaseshowmesomeceramiccoffeecups,whicharesomewhatcute,verymodernbutnotveryexpensive.OI want a cupthat meets mydesiresasmanyaspossibleW:SomewhatcuteW2:Verymodern.MeetsallofthedesiresW3:Notveryexpensive·MeetsthedesiresasmanyaspossibleMeetsalleasthalfofthedesiresCupstoberecommendedaredifferent.Meets atleast onedesire
1. Ordered Weighted Averaging Method Please show me some ceramic coffee cups, which are somewhat cute, very modern, but not very expensive. I want a cup that meets my desires as many as possible. Cups to be recommended are different. 3 • Meets all of the desires. • Meets the desires as many as possible. • Meets al least half of the desires. • Meets at least one desire. w1 w2 w3 ： Not very expensive ： Somewhat cute ： Very modern
(Example) Which do you recommend?0102S22=0.9 Very modernEvaluationvalueNot very expensive Sis=0.7S2, =0.6 Somewhat cuteSomewhat cute Su=0.5Very modern Sj2 =0.3Totalscore=1.5Total score=1.6一S23 = 0.1 Not very expensive0102·Meetsall ofthedesires.0102>.Meetsthedesiresasmanyas possible.>0102.Meets al leasthalf ofthedesires.>0102.Meetsatleastonedesire
o2 o2 o2 o2 o1 o1 o1 o1 (Example) Which do you recommend? 4 Somewhat cute Very modern Not very expensive Somewhat cute Very modern Not very expensive Evaluation value • Meets all of the desires. • Meets the desires as many as possible. • Meets al least half of the desires. • Meets at least one desire. Total score =1.5 Total score =1.6 o1 o2 s11 = 0.5 0.3 s12 = 0.7 s13 = s21 = 0.6 0.9 s22 = s23 = 0.1
wy:Somewhatcuteldea of ordered weighted averagingWz:Verymodernw:Notveryexpensive·Sortindescendingorderofattributeevaluationvalues:Sn =0.5 S12 =0.3 S3 = 0.7S = 0.7 si2 = 0.5 si, = 0.3.Overall evaluation by weighted average重要！j,2,HowtodetermineweightsE=x+μs2+s3.Whentheaverage value (orthetotal)istakenastheoverall evaluation1Inthefieldofdecision(or 1.0)===analysis,"Somewhatcute"3is calledanattribute,and·Exampleonthepreviouspage:O,hasalargeraverage.the scoreiscalled anattributeevaluationvalue
Idea of ordered weighted averaging • Sort in descending order of attribute evaluation values: • Overall evaluation by weighted average • When the average value (or the total) is taken as the overall evaluation • Example on the previous page: has a larger average. s11 = 0.5 s12 = 0.3 s13 = 0.7 s11 ′ = 0.7 s12 ′ = 0.5 s13 ′ = 0.3 1 1 11 2 12 3 13 E = µ × s ′ + µ × s ′ + µ × s ′ (or 1.0) 3 1 µ1 = µ2 = µ3 = 5 1 2 3 µ ,µ ,µ How to determine weights In the field of decision analysis, “Somewhat cute" is called an attribute, and the score is called an attribute evaluation value. o2 w1 w2 w3 ： Not very expensive ： Somewhat cute ： Very modern