ABSTRACT The World Wide Web has huge amount of information that is retrieved using information retrieval tool like Search Engine. Page repository of Search Engine contains the web documents downloaded by the crawler. This repository contains variety of web documents from different domains. In this paper, a technique called “Retrieval of Web documents using a fuzzy hierarchical clustering” is being proposed that creates the clusters of web documents using fuzzy hierarchical clustering. Keywords Search Engine, Web documents, Fuzzy Hierarchical Clustering Indexer 1. Introduction WWW [01, 02 and 04] is a huge repository of information consisting of hyperlinked documents spread over the internet. The size of the web as on February 2010 stands at around 35 million pages. For a user, it is practically impossible to search through this extremely large database for the information needed by him. Hence the need for Search Engine (see fig. 1) arises. The search engine uses crawlers to gather information and stores it in database maintained at search engine side. For a given user's query the search engine searches in the local database and very quickly displays the results. The huge amount of information [05] is retrieved using data mining tools. Classification, Clustering and Association tools etc. are used for data mining technique. Clustering plays a key role in searching for structures in data. As the number of available documents nowadays is large, hierarchical approaches are better suited because they permit categories to be defined at different pensiveness work about levels. The problem of clustering in finite set of data is to find several cluster centers that can properly characterize relevant classes of finite set of data such that degree of association is strong for data within blocks of the partition and weak for data in different blocks. When the weakness of a crisp partition of finite set of data is replaced with a fuzzy partition, this area is known as fuzzy clustering. Fuzzy clustering is a relevant technique for information retrieval. As a document might be relevant to multiple queries, this document should be given in the corresponding response sets, otherwise, the users would not be aware of it. Fuzzy clustering seems a natural technique for document categorization. There are two basic methods of fuzzy clustering, one which is based on fuzzy c-partitions, is called a fuzzy c-means clustering method and the other, based on the fuzzy equivalence relations, is called a fuzzy equivalence clustering method.