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In spite of controversies in academia, various nations around the world have been propounding the importance of cultural and creative industries (CCIs) as the driving force in economic growth and development strategies. Accordingly, this research aims to understand how these industries could contribute to forming a cultural and creative policy scheme in an urban context that is structured based on local cultural assets.

The case analysis of Rasht city, a UNESCO Creative City, assesses the planning policies from the national to the regional level to determine the cultural policy planning platform of Creative Rasht in four phases of urban cultural resources, municipal objectives, festival urban branding and the role of stakeholders, which are fashioned by the integrated cultural identity and sustainable city. This is followed by semi-structured interviews with experts and young researchers in the field of culture-led urban regeneration to evaluate different phases of the policy planning process.

By means of the qualitative method and ethnographic research, this paper argues that managerial regulations for local cultural industries contribute not only to the reinforcement of cultural resources but also to urban cultural sustainable development.

Building on empirical research, this paper attempts to argue the significant role of local CCIs alongside social values in creating a creative city platform, given the necessity for an urban cultural platform in Iran. It also emphasises the importance of local communities’ participation in the decision-making process and awareness-raising among different groups of stakeholders.

The purpose of this paper is to apply fuzzy spectrum in order to collect the vague and imprecise data and to employ the fuzzy U control chart in variable sample size using fuzzy rules. This approach is improved and developed by providing some new rules.

The fuzzy operating characteristic (FOC) curve is applied to investigate the performance of the fuzzy U control chart. The application of FOC presents fuzzy bounds of operating characteristic (OC) curve whose width depends on the ambiguity parameter in control charts.

To illustrate the efficiency of the proposed approach, a practical example is provided. Comparing performances of control charts indicates that OC curve of the crisp chart has been located between the FOC bounds, near the upper bound; as a result, for the crisp control chart, the probability of the type II error is of significant level. Also, a comparison of the crisp OC curve with OC_avg curve and FOC_α curve approved that the probability of the type II error for the crisp chart is more than the same amount for the fuzzy chart. Finally, the efficiency of the fuzzy chart is more than the crisp chart, and also it timely gives essential alerts by means of linguistic terms. Consequently, it is more capable of detecting process shifts.

This research develops the fuzzy U control chart with variable sample size whose output is fuzzy. After creating control charts, performance evaluation in the industry is important. The main contribution of this paper is to employs the FOC curve for evaluating the performance of the fuzzy control chart, while in prior studies in this area, the performance of fuzzy control chart has not been evaluated.