The exhausting fossil fuels have stimulated heating researches on alternative renewable energy, as well as energy friendly studies. In a country like Taiwan, with high density on population and buildings, fresh cold air are supplied by either fan-coil units or air-condition units. However, with the lack of intelligent control and poor justification on thermal comfort, these machines failed to provide optimal thermal comfort, a situation that always leads to "excessive control" and energy waste as a consequence. Optimal thermal comfort is pursued by using PMV fuzzy control theory, along with thermal comfort monitoring system derived from LabView icon-control software. Thermal Comfort indices such as Predicted Mean Vote (PMV) and Predicted Percent of Dissatisfied (PPD) according to the ISO 7730 are used as indicators of thermal comfort.Sensors, conscious of variations in humidity and temperatures, can figure out PMV and PPD via LabView Online Real Time calculation, and then we can control the environment comfort around PMV=1 next by using fuzzy control theory as well as energy efficient equipment such as AC stepless fans and AC stepless heaters. Many comfort simulation cases, comfort simulation with random humidity and temperatures, and a 12-hour automatic control, were presented as three testing items to check whether PMV FUZZY algorithm is competitive in fixing the environment thermal comfort around PMV=1. The confirmation of this question can be proved by this empirical study.