4. The controlling system in claim 1 , wherein the controlling apparatus executes a learning procedure for establishing or updating a learning model when receiving a user-feedback, wherein the learning model comprises the user-feedback, and the environment parameters sensed at the time the user-feedback is inputted.
1. A controlling system for environmental comfort degree, comprising: a plurality of sensors for sensing a plurality of environment parameters indoor or outdoor; a plurality of indoor apparatuses for adjusting temperature and humidity of an indoor space; a controlling apparatus, operatively connected with the sensors and the indoor apparatuses, executing an auto-calculation procedure for calculating a current comfort-index of the indoor space based on the environment parameters, and calculating a target comfort temperature adjustment value and a target comfort humidity adjustment value for an indoor environment of the indoor space to reach a best comfort-index based on the current comfort-index; wherein the controlling apparatus controls the indoor apparatuses based on the target comfort temperature adjustment value and the target comfort humidity adjustment value for the indoor environment to reach a target temperature and a target humidity; and wherein, the controlling apparatus determines whether the controlling system is shut down and whether a person in the indoor space is left, if the controlling system is not shut down and the person stays in the indoor space, then the plurality of sensors re-sense the environment parameters, the controlling apparatus re-calculates the current comfort-index based on the environment parameters, re-calculates the target comfort temperature adjustment value and the target comfort humidity adjustment value based on the current comfort-index, and re-controls the indoor apparatuses based on the target comfort temperature adjustment value and the target comfort humidity adjustment value.