The problemof selection and the best option are themain subject of operation research science in decision-making theory. Selection is a process that scrutinizes and investigates several quantitative and qualitative, and most often incompatible, factors. One of the most fundamental management issues in multicriteria selection literature is the multicriteria adoption of the projects portfolio. In...

In this paper we investigate a multi-objective portfolio selection model with three criteria: risk, return and liquidity for investors. Non-probabilistic uncertainty factors in the market, such as imprecision and vagueness of investors’ preference and judgement are simulated in the portfolio selection process. The liquidity of portfolio cannot be accurately predicted in the market, and thus is ...

A Dynamic Portfolio or Dynamic Asset Allocation is a strategy used to determine the proportion of a number of assets, chosen carefully, in order to achieve optimum performance of the portfolio. In this paper, the portfolio consists only Options traded in the financial market. One of the most famous models of option pricing is Binomial Cox-Ross-Rubinstein (CRR) Model. Using Fuzzy Binomial CRR pr...

The selection of a portfolio encounters several extremely complex situations. From among them, it has to be highlighted, due to its difficulty and transcendence, the Financial Assets selection when interrelations (positive and/or negative) occur among the expected profitabilities of each one of them. To solve this Genetic Algorithms are used due to its utility when offering solutions to complex...

While larger and larger pools of stock market data are available for investors, it is crucial for them to achieve the knowledge hidden behind and make the correct selections. The huge data amount, the variable data characteristic, and the noisy environment make this goal a great challenge. Using the model of fuzzy decision tree based rules extraction, a new set of fuzzy rules to select stocks w...

In this paper, portfolio selection in crisp and fuzzy cases is studied respectively, and corresponding model and algorithms in both case are proposed. In two models, the risk is taken as the sum of the absolute deviation of the risky assets in stead of covariance, the transaction cost is taken as v-shaped function of the difference between the existing and new portfolio. An efficient way is giv...

BACKGROUND Pancreatic ductal adenocarcinoma (PDAC) is characterized by an extensive desmoplastic stromal response. Fibroblast activation protein-α (FAP) is best known for its presence in stromal cancer-associated fibroblasts (CAFs). Our aim was to assess whether FAP expression was associated with the prognosis of patients with PDAC and to investigate how FAP expressing CAFs contribute to the pr...

BACKGROUND Fibroblast activation protein (FAP) is a type II membrane protein expressed on tumor stroma fibroblasts in more than 90% of all carcinomas. FAP serves as a diagnostic marker and is potential therapeutic target for treatment of a wide variety of FAP+ carcinomas. Murine tumor stroma models and FAP-specific antibodies are required to investigate the functional role of FAP in tumor biolo...

familial adenomatous polyposis (fap) is a hereditary autosomal dominant cancer syndrome, results from germ line mutation or deletion of the adenomatous polyposis coli (apc) gene on chromosome 5q21. patients with fap suffer from multiple polyps mainly at the colorectal region as well as other parts of the gastrointestinal tract, which has propensity to transform into carcinoma. fap has also been...

Classification refers to a set of methods that predict the class of an object from attributes or features describing the object. In this paper we present a fuzzy classification algorithm to predict bankruptcy. Our classification algorithm is modified from a subspace clustering algorithm called fuzzy subspace clustering (FSC). As our algorithm associates each feature of a class with a fuzzy memb...