This paper deals with the problem of existence of compromise decisions and conditions for a compromise decision to be weakly Pareto-optimal, i.e., to be a weak Pareto-maximizer, Pareto-maximizer, or strong Pareto-maximizer. The concept of compromise decision is generalized by adopting triangular norms. Further, a concept of fuzzy interval is introduced. Suucient conditions for the existence of ...

Optimal allocation of sample size among various strata is an important step to get the precise estimates for population parameters and to reduce the cost of the survey. A reasonable criterion for optimal allocation is the minimization of the variances of the estimates for a specified cost or to minimize the cost of survey for desired precision of the estimates. The total cost of survey is a fun...

Humanitarian relief logistics is one of the most important elements of a relief operation in disaster management. The present work develops a multi-objective robust stochastic programming approach for disaster relief logistics under uncertainty. In our approach, not only demands but also supplies and the cost of procurement and transportation are considered as the uncertain parameters. Furtherm...

A two-stage approach was presented to select woody biomass-based biofuel plants using GIS spatial analysis and the multi-criteria analysis ranking algorithm of compromise programming. Site suitability was evaluated to minimize the direct cost for investors and the potential negative environmental impacts. The first step was to create a site suitability index using a linear fuzzy logic predictio...

Widely tunable continuous-wave optical parametric oscillator (OPO) systems help meet the demands on holographic elements (HOEs) for many use cases, including head-up displays and augmented reality devices. The wide tuning range allows direct adjustment of replay wavelength with little to no need modification recording geometry. HOEs fabricated using these OPO in conjunction advanced photopolyme...

Accurate representation of precipitation over time and space is vital for hydro-climatic studies. Appropriate selection gridded data (GPD) important regions where long-term in situ records are unavailable gauging stations sparse. This study was an attempt to identify the best GPD data-poor Amu Darya River basin, a major source freshwater Central Asia. The performance seven GPDs 55 gauge locatio...

Three ideal point-based multi-criteria decision methods (MCDM), i.e., iterative ideal point thresholding (IIPT), compromise programming (CP) and a newly-proposed CP variant, called balanced compromise programming (BCP), were applied to the Tabacay catchment in Ecuador with the aim of finding a distribution of land use types (LUT) that optimizes regional land performance. This performance was ex...