This paper is on Fuzzy Stochastic Optimisation, an area that is quickly coming to the forefront of mathematical programming under uncertainty. An even stronger motivating factor for the growing interest in this area can be found in the ubiquitous nature of decision problems involving hybrid undeterminacy. More precisely, we consider a range of situations in which random factors and fuzzy inform...

Fishburne coefficients, fuzzy knowledge, membership function. Abstract— We have considered designation and structure of the knowledge acquisition block of the expert system for technical and technological service of complex machines. The main aspects of fuzzy expert knowledge representation designated for setting parameters of the machines technological adjustment have been studied. The block o...

It is the purpose of this paper to investigate the integrated cost minimizing strategy with supplier’s trade credits offer under fuzzy environment. Supplier permits the retailer a certain fixed period to settle the amount owed to him for the items supplied. Expressions for average integrated inventory cost in fuzzy sense are derived Signed Distance Method is used to defuzzified total fuzzy cost...

Bi-level decision-making techniques aim to deal with decentralized management problems that feature interactive decision entities distributed throughout a bi-level hierarchy. A challenge in handling bi-level decision problems is that various uncertainties naturally appear in decision-making process. Significant efforts have been devoted that fuzzy set techniques can be used to effectively deal ...

This paper aims in the design and development of a Decision Support System performing forest fire risk estimation of forest departments in Greece. The system applies a Fuzzy Logic model that considers a variety of independent variables. This approach takes into consideration the center of gravity of every independent variable, in order to produce various scenarios, having the advantage of evalu...

Hori (né Uemura) et al. formulated the fuzzy-Bayes decision rule extension of the Wald decision function to fuzzy ORand AND-connectives with multiple subjective distributions. This decision rule maps and transforms a state of nature to fuzzy events. In this context, the map of subjective distributions is called the subjective possibility distribution and the map of utility functions is called t...

Manufacturing flexibility is a competitive weapon for surviving today’s highly variable and volatile markets. It is critical therefore, to select the appropriate type of flexibility for a given manufacturing system, and to design effective strategies for using this flexibility in a way to improve the system performance. This study focuses on full routing flexibility which includes not only alte...

Here, we propose a fuzzy analytic hierarchy process (FAHP) method to evaluate the alternatives of enterprise resource planning (ERP) system. The fuzzy AHP approach allows the users get values more accurately to model the vagueness which changes according subjective ideas in the decision-making environment for ERP system selection problem. Therefore, fuzzy AHP method is used to obtain firm decis...

Fuzzy random variable is a measurable function from a probability space to the set of fuzzy variables, while random fuzzy variable is a function from a credibility space to the set of random variables. The concepts of independent and identically distributed fuzzy random variables and random fuzzy variables are presented, and some useful properties are discussed.

The purpose of this paper is to propose a ranking method for solving fuzzy multiple criteria decision making (FMCDM) problems. The representation of multiplication operation on fuzzy numbers is useful for the decision makers to rank all alternatives and choose the best one under the fuzzy multiple criteria decision making environment. The representation of multiplication operation on three fuzz...