The difficulty of innovation risk assessment makes it necessary to use a multi-criteria analysis.

Innovative projects are related to unstructured problems and the uncertainty, therefore,

the use of fuzzy logic in the innovation risk assessment is analyzed. This paper proposes

a method of determining the weights of criteria in order to innovation risk assessment. The

weights are determined by 5 general criteria and 14 detailed criteria of innovation risk assessment.

The proposed method is an extension of the fuzzy AHP method. The extension

consists in taking into consideration the group decision-making approach with experts’ psychological

conditions. The groups of experts have been chosen based on an elaborated form.

The form makes it possible to characterize the persons within the scope of different psychological

conditions. The proposed method provides objective and rational decision-making.

The paper presents also a comparison of results with the fuzzy AHP method without the

group decision making. The weights obtained by the proposed method are more diversified

and bring out the most important criteria.

Coastal areas face greater risk in terms of health and the environment. They are the most vulnerable to impacts resulting from climate change. Coastal areas with higher population density also have more environmental problems, such as natural disasters. Environmental health risks from chemicals and microbes continue threatening people living on small islands. Therefore, this study aims to: 1) conduct a chemical risk analysis of heavy metals Pb, Cr(VI), and Ni; 2) analyse the microbial risk posed by drinking water consumed daily by people on small islands. A method used to analyse the chemical risk of heavy metals was the environment health risk assessment (EHRA), whereas to analyse the microbial risk in small islands, the quantitative microbial risk assessment (QMRA) was used. The results showed that the concentration of heavy metals in drinking water was <0.0012 mg∙dm–3 for Pb, <0.01 mg∙dm–3 for Cr(VI), and <0.0019 mg∙dm–3 for Ni. The three heavy metals showed worrying results. Assessment and obtained risk quotient were less than one (RQ < 1) in all samples. Meanwhile, the microbial analysis found Escherichia coli, Acinetobacter calcoaceticus, Enterobacter sp ., and Citrobacter sp ., with risk characterised from low to high. Risk management is needed to control environmental health risks posed by heavy metals and the microbiological characteristics of drinking water on the small islands of the Spermonde Archipelago.