Purpose <p>Cost and productivity-quality analysis in greenhouse cultivation depends on various factors and is uncertain and difficult to measure. Hence, measurement and comparison of greenhouses are worth investigating in this ambiguous or vague environment from the perspective of both the producer and the consumer. In this study, regular tomato greenhouses in Antalya, where greenhouse agriculture is most common in Turkey, were compared simultaneously in terms of cost classification and quality yield.</p> Method <p>For the seasonal cost classification of 1-decare regular tomato greenhouses, three sub- and one main fuzzy inference systems were constructed and a total of 8 parameters were used in these systems. The main fuzzy system has four major factors: proximity to the market, power and energy, pesticide-plant growth regulators, and cultivation elements. For the productivity-quality measurement, along with 10 parameters influencing yield quality in the grounded greenhouse, five major factors, and three sub-fuzzy inference systems were identified: greenhouse type, air conditioning, plant nutrition and protection, seedling quality, and soil. In soilless greenhouses, other parameters except the soil parameter were used.</p> Results <p>Thirty regular tomato greenhouses in the relevant regions were interviewed and data was obtained. It was observed that there were some tomato greenhouses with a good productivity level at low cost compared to others.</p> Discussion <p>Practical system results obtained from real data show that performance and comparison analysis of tomato greenhouses based on multi-valued logic and including many factors makes a considerable contribution to the quality of greenhouse production and elimination of deficiencies.</p>