<p>The selection of smartphones is a complex decision-making process influenced by multiple criteria such as technical specifications, brand reputation, price, battery capacity, internal storage, and user preferences. The ambiguity and uncertainty around phenomena are handled by fuzzy sets. Picture fuzzy (PF) sets are an extension of fuzzy sets used for managing uncertainty in more complex situations when fuzzy sets are unable to produce reliable results. This paper outlines a framework in PF environment to solve the problem of selection of smartphone based on different factors. A new PF knowledge measure is proposed to measure the amount of knowledge linked to PF sets, and its reliability is tested using some numerical examples. A new PF accuracy measure is proposed based on the suggested knowledge measure and is used to find the pattern similarity of unknown patterns with given pattern. A new score function is proposed to compare the PF numbers, which can get around the drawbacks of existing score functions. A modified combined compromise solution (CoCoSo) technique is provided to select the best smartphone by using suggested scoring function and accuracy measure. Lastly, to prove the effectiveness of the suggested method, a comparative analysis carries out with the other existing methods.</p>