Abstract: In this attempt, the researcher aims to formulate an optimized worker assignment model for virtual cells by using Fuzzy Inference System (FIS) which is regarded as a successful programming technique using words rather than numbers. Improved productivity and superior quality in operations with maximum utilization of existing resources, i.e., physical and human resources are always the primary objective of manufacturing organizations. Many manufacturing philosophies have been developed to achieve the above objective and Virtual Cellular Manufacturing System (VCMS), a logical extension of Cellular Manufacturing System (CMS) is one of such philosophy developed quite recently. Worker assignment problems in the above VCMS context are highly non-linear and dynamic in nature because machineries and workforces in VCMS environment are virtually and logically rearranged to meet a particular production requirement. Tasks of workforce assignments into virtual manufacturing cells are very well handled by the researchers and various techniques namely mathematical programming models including Integer Programming (IP) and Goal Programming (GP) are developed for meeting the static and dynamic production conditions. Application of Artificial Neural Networks (ANN) into worker assignment shows enough potential as revealed from researcher’s previous attempts recently. In the current attempt, the researcher extends his research efforts on worker assignment problems and presents a novel method of doing the above assignment using Fuzzy Inference System (FIS) which is regarded as a successful programming technique using words rather than numbers. Fuzzy logic, the core substance of FIS is a convenient way to map an input dataset to an output dataset and in this study datasets corresponding to two cell configuration problem under VCMS environment are used as input and output data. Results of worker assignments from the present attempt and the previous models proposed are then compared, analysed and discussed. The study and results obtained affirm that FIS also shows prominence and promise in solving problems related to workforce assignment into virtual cells.