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Each satisfaction degree is calculated by membership functions.
Open image in new window Fig. 9 Number of people in each satisfaction class in the daytime and at nighttime in the five study area subdistricts of Jing'an District in downtown Shanghai.
Open image in new window Fig. 10 Number of preschool children and elderly in each satisfaction class in the daytime and at nighttime in the five study area subdistricts of Jing'an District in downtown Shanghai.
To solve this bi-objective problem they consider a two-stage algorithm in which defuzzification of the values of each satisfaction level (corresponding to time windows) must be calculated separately.
For each satisfaction domain, only those participants answering >65% of items within the domain were analysed.
Reponses for each satisfaction item on the self-administered questionnaire are shown in Figure 2.
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The importance weight of each customer satisfaction level is given by: w i s = z ~ s z ~ s t ~ i s t ~ i s 2 ≤ s ≤ 5 (13) w i 1 = 0 (14).
The importance weight of each customer satisfaction level is given by w is = z ˜ s t ˜ is 2 ≤ s ≤ 5 Open image in new window (13) w i 1 = 0. Open image in new window (14).
Open image in new window Fig. 8 Number of buildings (or land parcels) in each shelter satisfaction class in the daytime and at nighttime in the five study area subdistricts of Jing'an District in downtown Shanghai.
For each item, satisfaction was rated on a five-point likert scale from 1 = very dissatisfied to 5 = very satisfied.
Therefore, this study suggested an integrated POE, that combined a quantifiable environmental dataset to indicate each individual occupant's satisfaction with each IEQ element.
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