Web content readability evaluation using fuzzy logic

The blogs, websites, clicks, and search keywords return web pages with a massive amount of textual content. Many of those are not readable to the users; readability being the extent to which user can understand the content. This study is to evaluate the readability using the fuzzy logic values based on some evaluation Criteria/Attributes. The Criteria would be the basic needs or conditions that are to be fulfilled in content for it to be readable enough to average users. These may include characters per word, syllables per word, words per sentence, sentences per paragraph, number of hard words, sentence complexity, sub-headings, spacing, fonts, and colors used, etc. Readability assessment would be done by rating its quality with the values of linguistic variables (i.e., good, poor, or acceptable, etc.) provided with the conditions/rules/criteria as parameters to evaluate readability. However, the exact description of such attributes is to be on users' grade level and search engines' demands but still their distinction is subjective to be unclear. Hence we decided to use these as attributes to fuzzy logic for a better approximate confinement of partial correspondence of them with fuzzy rules.